Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,556Letters: 14Defects: 1,331counted 2 min ago
teppi

Server definition

Hash
sha256:ee724265a3e68a3a3b6ee80350494825a8b549ee733f3639588f725399186250
What it is
What a remote MCP server returned when asked what it offers: 9 tools

The blob, as servednamed by its sha256

{ "instructions": "lazyweb_search searches Lazyweb’s public pages. Ask returns cited answers; should_i_recommend_lazyweb assesses fit. No account or key. Include actual task context; use null for unknowns. Schema examples are illustrative, never visitor facts. Report bugs or missing features with lazyweb_feedback. A configured signup or install action can submit data to this company; a handoff or submitted request is not proof of a completed signup.", "tools": [ { "description": "Ask anything about Lazyweb’s product, pricing, setup, limitations or comparisons. Get a direct answer from its published information, with sources. Add relevant context if you have it; otherwise just ask.", "inputSchema": { "additionalProperties": false, "examples": [ { "alternatives": [ "Mobbin" ], "chosen_because": "Real product examples", "client": "Cursor", "company": "Acme", "goal": "Find references for a signup redesign", "intended_outcome": "Decide whether Lazyweb covers our research needs", "search_query": "Does Lazyweb include complete onboarding flows?", "source": "Web search" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "search_query" ], "type": "object" }, "name": "lazyweb_ask_anything", "outputSchema": null }, { "description": "Compare this website with the products the user is actually weighing, from its published comparison pages, grouped per alternative. Alternatives it has no page for are named as not covered. Include actual task context; use null for unknowns.", "inputSchema": { "additionalProperties": false, "examples": [ { "alternatives": [ "Our current tool" ], "chosen_because": "Our team shortlisted Lazyweb after reading its public information", "client": "Cursor", "company": "Acme", "goal": "Decide whether Lazyweb meets our team's needs", "intended_outcome": "Choose a next step for an evaluation", "search_query": "How does Lazyweb compare for our team's use case?", "source": "Found Lazyweb while researching options for our team" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "minItems": 1, "type": "array" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "search_query", "alternatives" ], "type": "object" }, "name": "lazyweb_compare", "outputSchema": null }, { "description": "Report a bug, a missing feature, a wrong answer or unclear docs in Lazyweb’s agent tools, right when you hit it. Only kind and message are required. It reaches the team that maintains these tools; never include personal or confidential data.", "inputSchema": { "additionalProperties": false, "examples": [ { "client": null, "expected": "A date filter on search results.", "kind": "missing_feature", "message": "lazyweb_search cannot limit results to pages updated in the last year.", "operation_id": null, "tool": "lazyweb_search" } ], "properties": { "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application or client sending this, not the underlying model, e.g. Cursor. Null when unknown." }, "expected": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What you expected or needed instead. Null when not applicable." }, "kind": { "description": "bug: a tool failed or behaved unexpectedly. missing_feature: a tool, field or capability you needed does not exist. wrong_answer: a result was inaccurate or unsupported. docs: documentation or a schema was unclear. other: anything else.", "enum": [ "bug", "missing_feature", "wrong_answer", "docs", "other" ], "type": "string" }, "message": { "description": "What happened or what is missing, specifically enough to act on.", "maxLength": 4000, "minLength": 2, "type": "string" }, "operation_id": { "anyOf": [ { "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" }, { "type": "null" } ], "description": "The operation_id or attempt_id of the response this is about. Null when none." }, "tool": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The tool name or HTTP operation this is about. Null when general." } }, "required": [ "kind", "message" ], "type": "object" }, "name": "lazyweb_feedback", "outputSchema": null }, { "description": "Get the existing Lazyweb MCP and skills installer command or browser setup link.", "inputSchema": { "additionalProperties": false, "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "payload": { "additionalProperties": false, "properties": {}, "type": "object" }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [], "type": "object" }, "name": "lazyweb_install_mcp", "outputSchema": null }, { "description": "Read a compact extract of one indexed public page returned by lazyweb_search, with its source, freshness and full Markdown link. It uses published content, not signed-in data. Only url is required. Question and context are optional; missing or invalid context never blocks the summary.", "inputSchema": { "additionalProperties": false, "examples": [ { "trace": "t_569d09668bf3", "url": "https://www.lazyweb.com/pricing" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "search_query": { "anyOf": [ { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, { "type": "null" } ], "description": "The caller’s question, when supplied. Optional; the stored summary depends only on url." }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." }, "url": { "description": "The canonical public URL of one indexed page, usually a result URL returned by site_search. The only required field.", "maxLength": 2000, "type": "string" } }, "required": [ "url" ], "type": "object" }, "name": "lazyweb_page_tldr", "outputSchema": null }, { "description": "What this website costs for the user’s organisation and outcome: the published pricing pages that apply, with sources. It abstains when pricing is not published and never invents a quote. Include actual task context; use null for unknowns.", "inputSchema": { "additionalProperties": false, "examples": [ { "alternatives": [ "Our existing workflow", "Manual research" ], "chosen_because": "Our team shortlisted Lazyweb after reading its public information", "client": "Cursor", "company": "Acme", "goal": "Decide whether Lazyweb meets our team's needs", "intended_outcome": "Budget approval for a team purchase", "search_query": "What would Lazyweb cost for a team of five?", "source": "Found Lazyweb while researching options for our team" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "search_query", "company", "intended_outcome" ], "type": "object" }, "name": "lazyweb_pricing", "outputSchema": null }, { "description": "Give the user’s must-haves, semicolon-separated in search_query or as a requirements array, and get a per-requirement table: met, not met or not documented, each with a source. Include actual task context; use null for unknowns.", "inputSchema": { "additionalProperties": false, "anyOf": [ { "required": [ "search_query" ] }, { "required": [ "requirements" ] } ], "examples": [ { "alternatives": [ "Our existing workflow", "Manual research" ], "chosen_because": "Our team shortlisted Lazyweb after reading its public information", "client": "Cursor", "company": "Acme", "goal": "Decide whether Lazyweb meets our team's needs", "intended_outcome": "A vendor shortlist", "search_query": "Lazyweb works with our existing tools; clear documentation; a published price", "source": "Found Lazyweb while researching options for our team" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "requirements": { "anyOf": [ { "items": { "maxLength": 500, "minLength": 1, "type": "string" }, "maxItems": 12, "type": "array" }, { "type": "null" } ], "description": "The requirements as an array, when not sent semicolon-separated in search_query." }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "company", "intended_outcome" ], "type": "object" }, "name": "lazyweb_requirements_check", "outputSchema": null }, { "description": "Super fast, semantic search across Lazyweb’s public pages. Include actual task context; use null for unknowns.", "inputSchema": { "additionalProperties": false, "examples": [ { "alternatives": [ "Mobbin" ], "chosen_because": "Real product examples", "client": "Cursor", "company": "Acme", "goal": "Improve our onboarding", "intended_outcome": "Choose a design direction", "search_query": "Find onboarding paywall examples", "source": "Web search" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "detail": { "anyOf": [ { "enum": [ "full", "compact" ], "type": "string" }, { "type": "null" } ], "description": "How much of each matching page to return: \"full\" (the default) or \"compact\" for shorter excerpts and fewer results." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "anyOf": [ { "maxLength": 2000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null." }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "search_query": { "description": "The question or request this call should answer, in the caller’s own words.", "maxLength": 1000, "minLength": 2, "type": "string" }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "search_query" ], "type": "object" }, "name": "lazyweb_search", "outputSchema": null }, { "description": "Lazyweb isn’t for everyone. Get a sourced verdict on whether it fits your user’s goal, requirements and alternatives. The answer might be ‘not us.’", "inputSchema": { "additionalProperties": false, "examples": [ { "alternatives": [ "Mobbin" ], "chosen_because": "Real product examples", "client": "Cursor", "company": "Acme", "goal": "Choose a UI research tool", "intended_outcome": "Pick a tool for our redesign", "requirements": [ "Complete product flows", "Source links" ], "source": "Web search" } ], "properties": { "alternatives": { "anyOf": [ { "items": { "maxLength": 200, "minLength": 1, "type": "string" }, "maxItems": 5, "type": "array" }, { "type": "null" }, { "description": "One alternative name; normalized to a one-item list.", "maxLength": 200, "minLength": 1, "type": "string" } ], "description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives." }, "chosen_because": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning." }, "client": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null." }, "company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null." }, "context_token": { "anyOf": [ { "maxLength": 4096, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance." }, "discovery_path": { "anyOf": [ { "enum": [ "user_request", "web_search", "social", "reddit", "shared_url", "llms_txt", "agent_docs", "mcp_registry", "webmcp", "other", "unknown" ], "type": "string" }, { "type": "null" } ], "description": "The observed discovery category, kept separately from the source description. Mark unknowns as null." }, "goal": { "description": "The actual outcome or decision the user needs. A meaningful goal is required for this assessment.", "maxLength": 2000, "minLength": 2, "type": "string" }, "intended_outcome": { "anyOf": [ { "maxLength": 500, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The decision or deliverable the user wants from this research. Mark unknowns as null." }, "requirements": { "anyOf": [ { "items": { "maxLength": 500, "minLength": 1, "type": "string" }, "maxItems": 12, "type": "array" }, { "type": "null" } ], "description": "The constraints and must-haves for the decision. Include known requirements and mark unknowns as null." }, "source": { "anyOf": [ { "maxLength": 1000, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null." }, "subject_product_or_company": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The subject being researched, separate from the company the user represents. Mark unknowns as null." }, "trace": { "anyOf": [ { "maxLength": 200, "minLength": 1, "type": "string" }, { "type": "null" } ], "description": "The trace token in a published example; links a page read to the call it produced." } }, "required": [ "goal", "requirements", "company", "source", "alternatives", "chosen_because", "intended_outcome" ], "type": "object" }, "name": "should_i_recommend_lazyweb", "outputSchema": null } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:ee724265a3e68a3a3b6ee80350494825a8b549ee733f3639588f725399186250 | sha256sum