Server definition

Hash: sha256:b67bc7bc689c9a649742bda039bf376c174eecaeec874c2ff7535eb9eb8691b8
What it is: What a remote MCP server returned when asked what it offers: 7 tools

The blob, as servednamed by its sha256

{
  "instructions": "Public ReliaSim walkthrough — eight reference scenarios across two curriculum tracks (Constraint-Level and LEDS-Level). The tools are VERIFIED-REFERENCE tools (find_bottleneck, get_chapter_facts, get_chapter_narrative, run_gain_loss, run_buffer_tradeoff, compare_chapters, explain_concept) return canonical numbers transcribed from real dys-cli engine runs against authoritative .aidos models — including specific tradeoff figures like 'b3: CT +23.7% vs LEDS +64.2%'; this surface teaches the framework, it doesn't simulate your line data. ANTI-FABRICATION (IMPORTANT FOR ASSISTANT BEHAVIOR): quote every returned number VERBATIM; do not round, estimate, average, or compute derived figures from training-data recall. If a user asks a follow-up about the same chapter or experiment, re-call the tool rather than recalling numbers from earlier in the conversation. For live simulation against your own models, install ReliaSim from reliasim.com; runs stay on your network.",
  "tools": [
    {
      "description": "Side-by-side comparison of two chapters — tracks, topology, OEE, throughput, headline bottleneck. Output is sim-derived (no interpretation drift). Use for 'how does X compare to Y?' / 'what's the difference between Constraint-Level and LEDS-Level on the same model?' / 'what changes when we add buffers?' questions. ANTI-FABRICATION: per-chapter OEE/throughput numbers are real reference values; the side-by-side delta is computed from them, not estimated. Quote VERBATIM.",
      "inputSchema": {
        "properties": {
          "chapter_a": {
            "default": "bs1-ct",
            "description": "First chapter id (left column of the comparison). Defaults to bs1-ct.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          },
          "chapter_b": {
            "default": "bs1-leds",
            "description": "Second chapter id (right column of the comparison). Defaults to bs1-leds — same plant data as bs1-ct, but with interrupts drilled down to named failure modes; the canonical first-look comparison.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "required": [
          "chapter_a",
          "chapter_b"
        ],
        "type": "object"
      },
      "name": "compare_chapters",
      "outputSchema": null
    },
    {
      "description": "Definitional primer for ReliaSim's framework concepts — Constraint, Buffer, Interrupt, Converter, cascading losses, OEE, Gain/Loss methodology, Buffer Tradeoff. Returns bundled theory content, NOT interpretation of any specific simulation run. Use for 'what is X?' / 'how does X work?' / 'explain the framework' questions. For line-specific claims (throughput, availability, what-if), call the sim tools instead.",
      "inputSchema": {
        "properties": {
          "concept": {
            "default": "constraint",
            "description": "Which concept to explain. Returns a definitional primer — theory, not interpretation of a specific simulation run. Use for 'what is a Constraint?' / 'what are cascading losses?' / 'explain Gain-Loss'.",
            "enum": [
              "constraint",
              "buffer",
              "interrupt",
              "converter",
              "cascading_losses",
              "oee",
              "gain_loss",
              "buffer_tradeoff"
            ],
            "type": "string"
          }
        },
        "required": [
          "concept"
        ],
        "type": "object"
      },
      "name": "explain_concept",
      "outputSchema": null
    },
    {
      "description": "Single Run bottleneck analysis for the selected chapter — which node has the worst availability, per-interrupt downtime split, throughput, OEE. All eight chapters return verified dys-cli sales-prototype numbers. ANTI-FABRICATION: numbers in the response are canonical reference values from real dys-cli engine runs. Quote them VERBATIM. Do not round, estimate, or recall from training data. For follow-ups about the same chapter, re-call this tool.",
      "inputSchema": {
        "properties": {
          "chapter": {
            "default": "bs1-ct",
            "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "find_bottleneck",
      "outputSchema": null
    },
    {
      "description": "Structural facts of the selected chapter — topology, rate limits, interrupt distributions, expected efficiency. Use when the user asks about the line's configuration. ANTI-FABRICATION: rates and distributions are verified .aidos-file values. Quote VERBATIM; do not estimate or substitute training-data recall.",
      "inputSchema": {
        "properties": {
          "chapter": {
            "default": "bs1-ct",
            "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_chapter_facts",
      "outputSchema": null
    },
    {
      "description": "Long-form narrative for the selected chapter — what the chapter adds to the complexity ladder and the key teaching point. Use when the user asks 'walk me through this' or wants the conceptual primer. Pure prose, no numerical claims; safe to summarize.",
      "inputSchema": {
        "properties": {
          "chapter": {
            "default": "bs1-ct",
            "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_chapter_narrative",
      "outputSchema": null
    },
    {
      "description": "Buffer Tradeoff experiment — sweep a buffer's capacity from 50 → 10,000 units, measure throughput gain. Shows the diminishing-returns elbow for buffer sizing. Only defined on `bs4-ct` and `bs4-leds`; each chapter has THREE inline buffers with different placements (pass `buffer` id to pick one). Compare CT vs LEDS on the same slot to see why interrupt-detail level changes buffer ROI math (e.g. b3: CT +23.7% vs LEDS +64.2%). Use when the user asks 'how big should the buffer be?' / 'do buffers help on this line?' / 'which buffer position gives the most gain?' / 'what's the diminishing-returns point?'. ANTI-FABRICATION (CRITICAL): the specific tradeoff numbers (e.g. CT +23.7% vs LEDS +64.2%) are sweep-derived reference values. Quote VERBATIM in your reply; do NOT recall similar percentages from training data — every buffer position has different math.",
      "inputSchema": {
        "properties": {
          "buffer": {
            "default": "b3",
            "description": "Buffer id to sweep. The Buffer-Options Constraint-Level model has `b3` (Buffer 1, between Capper↔Labeler), `b4` (Buffer 2, between Labeler↔Case Packer), `b5` (Buffer 3, between Case Packer↔Palletizer). The Buffer-Options LEDS model has `b2` (Buffer Option 1, earliest), `b3` (Buffer Option 2, middle), `b4` (Buffer Option 3, last). Defaults to b3 if omitted — but pick the buffer that matches the question (e.g. 'the first inline buffer' = b3 on CT, b2 on LEDS).",
            "type": "string"
          },
          "chapter": {
            "default": "bs4-ct",
            "description": "Chapter id. Only `bs4-ct` and `bs4-leds` have buffer tradeoffs defined.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "run_buffer_tradeoff",
      "outputSchema": null
    },
    {
      "description": "Gain/Loss experiment — disable each interrupt one at a time, measure production recovered. Reveals the ACTUAL impact of each failure mode (Gain ≠ Loss: removing one lets others fire more often). Available on `bs1-leds`, `bs3-leds`, `bs4-ct`, `bs4-leds`. Use when the user asks 'what if we fixed X?' / 'which interrupt matters most if we actually fixed it?' / 'show me the Pareto'. ANTI-FABRICATION: per-interrupt recovered-production numbers come from real dys-cli runs. Quote VERBATIM; the Gain ≠ Loss interaction is exactly the kind of figure LLMs are prone to fabricate — don't.",
      "inputSchema": {
        "properties": {
          "chapter": {
            "default": "bs1-ct",
            "description": "Which curriculum chapter the tool should answer about. Format: `bs<1-5>-<ct|leds>`. Both tracks run on the same real plant data — `ct` = Constraint-Level (interrupts rolled up to one Weibull per machine, 5 total) and `leds` = LEDS-Level (interrupts drilled down to named failure modes, 36 total). Defaults to bs1-ct when omitted.",
            "enum": [
              "bs1-ct",
              "bs2-ct",
              "bs3-ct",
              "bs4-ct",
              "bs1-leds",
              "bs2-leds",
              "bs3-leds",
              "bs4-leds",
              "cmp-buffer-reliability",
              "cmp-shared-palletizer"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "run_gain_loss",
      "outputSchema": null
    }
  ]
}

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