Server definition

Hash: sha256:bf867a54ae2464691915096edf46fc0915947baca420d2a31a94605d53362956
What it is: What a remote MCP server returned when asked what it offers: 15 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Public city catalogue inventory. Pass exactly one of: cityName, lat and lng together, or geoDivisionId. A city name with multiple matches returns choices; after the user chooses, call again with that candidate geoDivisionId. Never pass a slug. Shows datasets grouped by topic as on file, not loaded yet, unavailable, or not confirmed. This is city coverage, not lot feasibility or operator health. If Bucky has not mapped the place, the result points to recording demand. It does not record demand by itself.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "cityName": {
            "maxLength": 100,
            "minLength": 2,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "geoDivisionId": {
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "lat": {
            "maximum": 90,
            "minimum": -90,
            "type": "number"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "lng": {
            "maximum": 180,
            "minimum": -180,
            "type": "number"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "cityInventory",
      "outputSchema": null
    },
    {
      "description": "Explain one Bucky coverage or per-fact provenance status and the safe next action. This is a pure static lookup: it does not inspect an address, retrieve property data, or call a database, geocoder, AI model, or third-party API. Accepts exactly one of: live, live_unavailable, planned_not_live, geo_division_uncatalogued, unseeded_place, geocode_failed, cited, cited_conditional, conditional_unresolved, no_limit_in_bylaw, not_extracted, site_specific_schedule, unverified_default, derived_from_cited, defaulted, missing. Copy the status verbatim from a feasibility result. An unknown status returns this list instead of failing.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "status": {
            "description": "A Bucky coverage resolution status or per-fact provenance status returned by a feasibility result. Copy it verbatim. Do not paraphrase or invent a status.",
            "enum": [
              "live",
              "live_unavailable",
              "planned_not_live",
              "geo_division_uncatalogued",
              "unseeded_place",
              "geocode_failed",
              "cited",
              "cited_conditional",
              "conditional_unresolved",
              "no_limit_in_bylaw",
              "not_extracted",
              "site_specific_schedule",
              "unverified_default",
              "derived_from_cited",
              "defaulted",
              "missing"
            ],
            "type": "string"
          }
        },
        "required": [
          "status",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "explainFeasibilityStatus",
      "outputSchema": null
    },
    {
      "description": "Call with no arguments on first contact. Optional `role`, `market`, and `scale` answer the first-call questions on a second call. Returns what this session should do next.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "market": {
            "description": "Which country the site is in. Answers \"US or Canada?\".",
            "enum": [
              "US",
              "CA"
            ],
            "type": "string"
          },
          "role": {
            "description": "Who is asking. Answers \"Developer, GC, or municipal reviewer?\".",
            "enum": [
              "developer",
              "gc",
              "reviewer"
            ],
            "type": "string"
          },
          "scale": {
            "description": "One site or several. Answers \"Single parcel, or a portfolio?\".",
            "enum": [
              "single_parcel",
              "portfolio"
            ],
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "getBuckyMcpGuide",
      "outputSchema": null
    },
    {
      "description": "Return the stored bylaw section text behind a snapshot citation. Pass `sectionIds` copied from `citations.*.knowledgeSectionId` on getFeasibilitySnapshot. Or pass `geoDivisionId` from `coverage.geoDivisionId`, `zoneCode` from `zone.code`, and `sectionNumbers` such as 3.1 or 3.2. The markdown is the schedule text. A number in the snapshot can still be conditional on frontage, tenure, or adjoining district. Ids or section numbers with no active chunk come back in `missing`.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "geoDivisionId": {
            "description": "coverage.geoDivisionId from getFeasibilitySnapshot.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "sectionIds": {
            "description": "Copy citations.*.knowledgeSectionId from getFeasibilitySnapshot. 1 to 4 ids.",
            "items": {
              "format": "uuid",
              "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
              "type": "string"
            },
            "maxItems": 4,
            "minItems": 1,
            "type": "array"
          },
          "sectionNumbers": {
            "description": "Section numbers to read, for example 3.1 or 3.2. 1 to 4 numbers.",
            "items": {
              "maxLength": 64,
              "minLength": 1,
              "type": "string"
            },
            "maxItems": 4,
            "minItems": 1,
            "type": "array"
          },
          "zoneCode": {
            "description": "zone.code from getFeasibilitySnapshot, for example C-2.",
            "maxLength": 40,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "getBylawSection",
      "outputSchema": null
    },
    {
      "description": "Look up lot, zone, and building envelope for one street address in Canada or the US. Pass `address`. One address per call; cannot search or compare. Every envelope value carries a `status`. Never report `not_extracted` or `site_specific_schedule` as no limit or as zero — call `explainFeasibilityStatus` first. Envelope numbers are extracted ceilings. Call `getBylawSection` with a citation `knowledgeSectionId`, or with `coverage.geoDivisionId`, `zone.code`, and the section number, before treating a number as available on this lot. Do not fetch `zone.bylawSourceUrl`.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "address": {
            "description": "Street address to analyse, e.g. \"4170 Sophia St, Vancouver BC\".",
            "maxLength": 500,
            "minLength": 3,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "source": {
            "default": "full",
            "description": "Which question the caller is answering. Used for attribution and to pick the link back; the payload is the same either way.",
            "enum": [
              "zoning_lookup",
              "lot_dimensions",
              "setback_lookup",
              "height_limit_lookup",
              "full"
            ],
            "type": "string"
          }
        },
        "required": [
          "address",
          "source",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "getFeasibilitySnapshot",
      "outputSchema": null
    },
    {
      "description": "Load one project with analysis envelope, compact agentStatus, document summaries, evidence summaries, the project memory digest, and external_ref when the project was imported from another system. Pass `include` for optional sections: tasks, members, insights, capital, visualEvidence. Default is none, so the payload stays the same as a call without include. Writes to those sections stay on the Bucky CLI. You do not need a UUID: pass `project` with the name the user said, or call with neither and the result lists their projects to choose from. Use before composing reports or after scheduling analysis.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "documentsLimit": {
            "default": 20,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "evidenceLimit": {
            "default": 20,
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "include": {
            "default": [],
            "description": "Optional extra sections. Default is none, so the payload matches a call without include. tasks, members, insights, capital, and visualEvidence each reuse the matching product read — they are not separate tools. Writes stay on the Bucky CLI.",
            "items": {
              "enum": [
                "tasks",
                "members",
                "insights",
                "capital",
                "visualEvidence"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "project": {
            "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Project UUID. Omit if you pass `project`.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "documentsLimit",
          "evidenceLimit",
          "include",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "getProjectContext",
      "outputSchema": null
    },
    {
      "description": "Free preview, no sign-in needed. For one street address in Canada or the US, it says whether Bucky covers the place and which zoning facts it holds for the lot (lot boundary, zone, height, density, setbacks, permitted uses, overlays, parking): found, partly on file, or not on file. It returns no values: no zone code, heights, setbacks or areas. The lot outline is a shape with no scale. Use it when the user is not signed in and asks what they can build at an address. For the numbers, call getFeasibilitySnapshot. That call asks the user to sign in.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "address": {
            "description": "Street address to analyse, e.g. \"4170 Sophia St, Vancouver BC\".",
            "maxLength": 500,
            "minLength": 3,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          }
        },
        "required": [
          "address",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "previewSiteCoverage",
      "outputSchema": null
    },
    {
      "description": "Compose a project report PDF. Pass `projectId` or `project`; with neither, the result lists projects and no meter is spent. preview=true composes without spending. confirm=true exports, spends records.exports, and is irreversible. Returns a signed download URL, never PDF bytes.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "audience": {
            "default": "owner",
            "enum": [
              "investor",
              "owner",
              "board",
              "resident"
            ],
            "type": "string"
          },
          "confirm": {
            "default": false,
            "description": "When true, compose (if needed), save, export PDF, and return a download URL. Required when preview is false. Spends records.exports and cannot be undone.",
            "type": "boolean"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "detail": {
            "default": "detailed",
            "enum": [
              "brief",
              "detailed"
            ],
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "planName": {
            "maxLength": 120,
            "minLength": 1,
            "type": "string"
          },
          "preview": {
            "default": false,
            "description": "When true, compose only — no export meter spend and no download URL.",
            "type": "boolean"
          },
          "project": {
            "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Project UUID. Omit if you pass `project`.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "request": {
            "maxLength": 4000,
            "minLength": 3,
            "type": "string"
          }
        },
        "required": [
          "audience",
          "detail",
          "preview",
          "confirm",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "produceProjectReport",
      "outputSchema": null
    },
    {
      "description": "Enqueue a fresh deterministic analysis run for a saved project. Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is queued. Returns immediately with `agentStatus` (`queued`, `running`, `current`, `failed`, or `none`) and a receipt id; does not block on completion. Irreversible: a queued run cannot be un-queued from MCP. Re-check with `getProjectContext`, but no more than once every 15 seconds — it is a multi-query bundle, not a status endpoint.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "project": {
            "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Project UUID. Omit if you pass `project`.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "runFeasibilityAnalysis",
      "outputSchema": null
    },
    {
      "description": "Create a project (`create`), attach lots (`attach_parcels`), or attach a knowledge reference (`attach_reference`). Pass `projectId` or `project`; with neither, the result lists projects and writes nothing. For attach_parcels, copy `lot.parcelExternalId` from getFeasibilitySnapshot. preview=true returns the diff and writes nothing. A write returns a receipt. Not reversible on this surface.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "action": {
            "description": "create: new project from a site. attach_parcels: attach lots to an existing project (use lot.parcelExternalId from getFeasibilitySnapshot). attach_reference: link a knowledge section to an existing project.",
            "enum": [
              "create",
              "attach_reference",
              "attach_parcels"
            ],
            "type": "string"
          },
          "address": {
            "description": "Street address of the site. On `create` this is geocoded server-side when lat/lng are not supplied, and is what gets recorded as the project address.",
            "maxLength": 200,
            "minLength": 3,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "externalRef": {
            "description": "Provenance of an imported project. Canonical form is `<system>:<id>` (e.g. `notion:<page-id>`). Unique per creator when set. Returned on getProjectContext. Distinct from idempotencyKey.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "idempotencyKey": {
            "maxLength": 128,
            "minLength": 8,
            "type": "string"
          },
          "lat": {
            "description": "Latitude from getFeasibilitySnapshot. Supplied coordinates are never re-geocoded.",
            "type": "number"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "lng": {
            "description": "Longitude from getFeasibilitySnapshot.",
            "type": "number"
          },
          "name": {
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "parcelExternalIds": {
            "description": "Source parcel ids to attach. Copy lot.parcelExternalId from getFeasibilitySnapshot. If they are not in the current area, pass a larger radiusM on attach_parcels.",
            "items": {
              "maxLength": 160,
              "minLength": 1,
              "type": "string"
            },
            "maxItems": 20,
            "minItems": 1,
            "type": "array"
          },
          "preview": {
            "default": false,
            "description": "When true, return the field-level diff and write nothing.",
            "type": "boolean"
          },
          "project": {
            "description": "Project name to match instead of a UUID, for attach_parcels and attach_reference. Matching more than one lists the candidates instead of guessing. Ignored by create.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Existing project UUID. Required by attach_parcels and attach_reference unless you pass `project`; ignored by create.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "radiusM": {
            "description": "Search half-width in metres when resolving parcel ids. Default 150.",
            "maximum": 400,
            "minimum": 10,
            "type": "integer"
          },
          "role": {
            "description": "build is the lot being developed; context is surrounding land. Default build.",
            "enum": [
              "build",
              "context"
            ],
            "type": "string"
          },
          "sectionUuid": {
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "action",
          "preview",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "saveToProject",
      "outputSchema": null
    },
    {
      "description": "Find the lots in one live Bucky city that match a buy box. Pass `city` or `geoDivisionId` with `thesis` (plain words), `criteria` (square feet, dollars), or both; or pass a saved `profileId`. Returns the total match count, the top lots ranked largest first with a pass, fail, or not_available verdict per filter, and every filter this city cannot apply. Report a not_available filter; never present the count as filtered by it. Each lot has `address` for getFeasibilitySnapshot and `parcelExternalId` for saveToProject. save=true saves the box (write scope) and returns a CSV link.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "city": {
            "description": "City as the user said it, e.g. \"Laval\" or \"Bedford, MA\". Omit when you pass geoDivisionId or profileId.",
            "maxLength": 120,
            "minLength": 2,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "criteria": {
            "additionalProperties": false,
            "description": "Structured criteria. A field set here replaces the same field read from thesis.",
            "properties": {
              "contamination_risk": {
                "additionalProperties": false,
                "description": "true: a gas station or auto-service business (repair, body shop, car wash) is mapped on the lot. { is: false } excludes those lots. A risk flag from OpenStreetMap and city business licences, not a site investigation: it misses former and unmapped businesses.",
                "properties": {
                  "is": {
                    "type": "boolean"
                  }
                },
                "required": [
                  "is"
                ],
                "type": "object"
              },
              "existing_coverage_pct": {
                "additionalProperties": false,
                "description": "Building footprint area on the lot as a percentage of lot area, 0-100. An underbuilt screen is { max: 20 }. Footprints can be years old: check the city honesty note.",
                "properties": {
                  "max": {
                    "minimum": 0,
                    "type": "number"
                  },
                  "min": {
                    "minimum": 0,
                    "type": "number"
                  }
                },
                "type": "object"
              },
              "existing_use_class": {
                "additionalProperties": false,
                "description": "What stands on the lot: place_of_worship (church, temple, mosque, synagogue…), fuel_station, auto_service (repair, body, car wash), auto_sales (car dealer), else vacant, surface_parking or built. \"Vacant lots or surface parking\" is { any_of: [\"vacant\", \"surface_parking\"] }; \"gas stations\" is { any_of: [\"fuel_station\"] }; \"church sites\" is { any_of: [\"place_of_worship\"] }. Vacant means no building over 20 m² in any footprint source and no assessed building worth over 20% of the land. A mapped business on the lot wins over the footprint class. Fuel and auto-service sites are a contamination risk flag, not a site investigation.",
                "properties": {
                  "any_of": {
                    "items": {
                      "maxLength": 256,
                      "minLength": 1,
                      "type": "string"
                    },
                    "maxItems": 10,
                    "type": "array"
                  },
                  "none_of": {
                    "items": {
                      "maxLength": 256,
                      "minLength": 1,
                      "type": "string"
                    },
                    "maxItems": 10,
                    "type": "array"
                  }
                },
                "type": "object"
              },
              "improvement_land_ratio": {
                "additionalProperties": false,
                "description": "Assessed building (improvement) value divided by land value, as a ratio: 0.25 = the building is worth a quarter of the land. A teardown screen is { max: 0.25 }.",
                "properties": {
                  "max": {
                    "minimum": 0,
                    "type": "number"
                  },
                  "min": {
                    "minimum": 0,
                    "type": "number"
                  }
                },
                "type": "object"
              },
              "maxAreaSqft": {
                "description": "Largest lot, in square feet.",
                "minimum": 0,
                "type": "number"
              },
              "maxAssessed": {
                "description": "Highest assessed total value, in dollars.",
                "minimum": 0,
                "type": "number"
              },
              "minAreaSqft": {
                "description": "Smallest lot, in square feet.",
                "minimum": 0,
                "type": "number"
              },
              "minAssessed": {
                "description": "Lowest assessed total value, in dollars.",
                "minimum": 0,
                "type": "number"
              },
              "minHomes": {
                "description": "Homes allowed, at least N. A zone-level estimate.",
                "maximum": 1000,
                "minimum": 1,
                "type": "integer"
              },
              "namedAreaIds": {
                "description": "Submarket (named area) ids. Use `thesis` to match submarkets by name.",
                "items": {
                  "format": "uuid",
                  "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
                  "type": "string"
                },
                "maxItems": 50,
                "type": "array"
              },
              "overlayExcludeKinds": {
                "description": "Overlay kinds a lot must be outside.",
                "items": {
                  "maxLength": 64,
                  "minLength": 1,
                  "type": "string"
                },
                "maxItems": 20,
                "type": "array"
              },
              "overlayKinds": {
                "description": "Overlay kinds a lot must be inside.",
                "items": {
                  "maxLength": 64,
                  "minLength": 1,
                  "type": "string"
                },
                "maxItems": 20,
                "type": "array"
              },
              "ownership_form": {
                "additionalProperties": false,
                "description": "Ownership form: fee_simple (land title), strata_condo, co_op, leasehold, mixed. \"Land title only\" is { none_of: [\"strata_condo\", \"co_op\", \"leasehold\", \"mixed\"] }, which keeps lots whose form is unknown; any_of drops them.",
                "properties": {
                  "any_of": {
                    "items": {
                      "maxLength": 256,
                      "minLength": 1,
                      "type": "string"
                    },
                    "maxItems": 10,
                    "type": "array"
                  },
                  "none_of": {
                    "items": {
                      "maxLength": 256,
                      "minLength": 1,
                      "type": "string"
                    },
                    "maxItems": 10,
                    "type": "array"
                  }
                },
                "type": "object"
              },
              "place_of_worship": {
                "additionalProperties": false,
                "description": "true: a church, temple, mosque, synagogue or other place of worship is mapped on the lot (OpenStreetMap, city heritage registers). { is: false } excludes those lots. Same lots as existing_use_class place_of_worship.",
                "properties": {
                  "is": {
                    "type": "boolean"
                  }
                },
                "required": [
                  "is"
                ],
                "type": "object"
              },
              "titled_unit_count": {
                "additionalProperties": false,
                "description": "Titled units on the parcel: 1 for a land-title lot, the strata unit count otherwise.",
                "properties": {
                  "max": {
                    "maximum": 100000,
                    "minimum": 1,
                    "type": "integer"
                  },
                  "min": {
                    "maximum": 100000,
                    "minimum": 1,
                    "type": "integer"
                  }
                },
                "type": "object"
              },
              "year_built": {
                "additionalProperties": false,
                "description": "Year the main building was built, inclusive bounds.",
                "properties": {
                  "max": {
                    "maximum": 2100,
                    "minimum": 1600,
                    "type": "integer"
                  },
                  "min": {
                    "maximum": 2100,
                    "minimum": 1600,
                    "type": "integer"
                  }
                },
                "type": "object"
              },
              "zoneCodes": {
                "description": "Zone codes from the city's own vocabulary, e.g. RM-4.",
                "items": {
                  "maxLength": 32,
                  "minLength": 1,
                  "type": "string"
                },
                "maxItems": 50,
                "type": "array"
              }
            },
            "type": "object"
          },
          "geoDivisionId": {
            "description": "Division id, from an earlier screenLots or cityInventory result.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "limit": {
            "description": "Lots to return. Default 10. The total match count is always returned.",
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "profileId": {
            "description": "Saved buy box id. Runs the saved city and criteria. Do not combine with city, thesis, or criteria.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "save": {
            "description": "true saves the buy box to the account. Default false: nothing is written.",
            "type": "boolean"
          },
          "saveName": {
            "description": "Name for a saved box.",
            "maxLength": 120,
            "minLength": 1,
            "type": "string"
          },
          "thesis": {
            "description": "The buy box in plain words, e.g. \"industrial lots over half an acre outside the floodplain\".",
            "maxLength": 500,
            "minLength": 3,
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "screenLots",
      "outputSchema": null
    },
    {
      "description": "Put a project on the public Bucky map, or take it off. Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is published. Listing publishes the build-lot centroid, the project name, its zone category, typology and lifecycle status to anyone — signed in or not. Nothing else about the project is published. The project must have a build lot with a centroid; a project that has only an address and no attached build parcel cannot be pinned. Ask the human before listing a site that is not already public knowledge. A client, a friend, or a private residence is theirs to publish, not yours. preview=true returns the current state, the exact pin that would be published, and any privacy warning, and writes nothing. Unlisting removes the pin but does not un-share anything already collected while it was public.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "listed": {
            "description": "true lists the project on the public map; false removes it. Listing publishes the build-lot centroid and the project name to anyone, signed in or not.",
            "type": "boolean"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "preview": {
            "default": false,
            "description": "When true, return the current listing state, the pin that would be published, and any privacy warning, and write nothing.",
            "type": "boolean"
          },
          "project": {
            "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Project UUID. Omit if you pass `project`.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "listed",
          "preview",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "setProjectMapListing",
      "outputSchema": null
    },
    {
      "description": "Open a human-reviewed feedback form and submit it to the Bucky product team. Call only when the user explicitly asks to send feedback, report a problem, suggest an improvement, or praise something. The server asks the MCP client to show the form; nothing is saved unless the human accepts it. Do not use for silent agent self-reporting.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "affectedToolName": {
            "description": "Tool the user is commenting on, when already known",
            "maxLength": 128,
            "minLength": 1,
            "type": "string"
          },
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "submissionId": {
            "description": "Optional. A UUID for this submission; generated server-side when omitted. Pass the same UUID when retrying this exact feedback so it is not recorded twice.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "submitBuckyFeedback",
      "outputSchema": null
    },
    {
      "description": "Return only the analysis `agentStatus` for a project. Cheap enough to poll. Used by the Bucky app view; the model should call getProjectContext instead.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "projectId": {
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "projectId",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "uiGetAnalysisStatus",
      "outputSchema": null
    },
    {
      "description": "Patch project metadata (name, lifecycle status, externalRef). Pass `projectId`, or `project` with the name the user said; with neither, the result lists their projects and nothing is written. preview=true returns the field-level diff and writes nothing. A write returns a receipt; undoOperationId restores the captured prior fields. Does not archive or delete.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "context": {
            "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
            "type": "string"
          },
          "conversation_id": {
            "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
            "type": "string"
          },
          "externalRef": {
            "anyOf": [
              {
                "maxLength": 200,
                "minLength": 1,
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "description": "Provenance of an imported project. Canonical form is `<system>:<id>` (e.g. `notion:<page-id>`). Unique per creator when set. Pass null to clear."
          },
          "lifecycleStatus": {
            "type": "string"
          },
          "llm_model": {
            "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
            "type": "string"
          },
          "name": {
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "preview": {
            "default": false,
            "description": "When true, return the field-level diff and write nothing. Combined with undoOperationId, returns the stored receipt.",
            "type": "boolean"
          },
          "project": {
            "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          },
          "projectId": {
            "description": "Project UUID. Omit if you pass `project`.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          },
          "undoOperationId": {
            "description": "Receipt id from a prior updateProject write. Restores the captured prior fields. With preview=true, inspects the receipt instead.",
            "format": "uuid",
            "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
            "type": "string"
          }
        },
        "required": [
          "preview",
          "context",
          "llm_model"
        ],
        "type": "object"
      },
      "name": "updateProject",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:bf867a54ae2464691915096edf46fc0915947baca420d2a31a94605d53362956 | sha256sum