Server definition

Hash: sha256:e10797b87a82885ce3eef414f47d399e6041af257ba59abf5cb62d8234fc6c20
What it is: What a remote MCP server returned when asked what it offers: 6 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Direct head-to-head comparison of exactly two options. Returns the winner, the score margin, how many criteria each option wins, and a per-criterion breakdown of who each criterion favours. Pass option_a and option_b (names) or a 2-element options array, plus criteria and scores.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
            "items": {
              "properties": {
                "direction": {
                  "default": "benefit",
                  "enum": [
                    "benefit",
                    "cost"
                  ],
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "weight": {
                  "type": "number"
                }
              },
              "required": [
                "name",
                "weight"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "method": {
            "default": "weighted_sum",
            "enum": [
              "weighted_sum",
              "weighted_product",
              "topsis"
            ],
            "type": "string"
          },
          "option_a": {
            "type": "string"
          },
          "option_b": {
            "type": "string"
          },
          "options": {
            "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
            "items": {
              "type": [
                "string",
                "object"
              ]
            },
            "type": "array"
          },
          "scores": {
            "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
            "type": "object"
          }
        },
        "required": [
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "compare_two",
      "outputSchema": null
    },
    {
      "description": "Rank named options against weighted criteria and return the winner, full ranking, per-criterion score breakdowns, methodology, the weights used, and a plain-language explanation. This is the main tool. Provide options, criteria [{name, weight, direction}], and a scores matrix. method defaults to weighted_sum (also: weighted_product, topsis). 100% deterministic.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
            "items": {
              "properties": {
                "direction": {
                  "default": "benefit",
                  "enum": [
                    "benefit",
                    "cost"
                  ],
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "weight": {
                  "type": "number"
                }
              },
              "required": [
                "name",
                "weight"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "method": {
            "default": "weighted_sum",
            "enum": [
              "weighted_sum",
              "weighted_product",
              "topsis"
            ],
            "type": "string"
          },
          "options": {
            "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
            "items": {
              "type": [
                "string",
                "object"
              ]
            },
            "type": "array"
          },
          "scores": {
            "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
            "type": "object"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "create_decision",
      "outputSchema": null
    },
    {
      "description": "Server health, version, and capabilities. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "health_check",
      "outputSchema": null
    },
    {
      "description": "List the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_methods",
      "outputSchema": null
    },
    {
      "description": "Score options against criteria when the score matrix is supplied separately. Returns the full normalized scored matrix (per-option, per-criterion) plus a ranking, without the narrative winner explanation. Use create_decision if you want a winner + explanation.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
            "items": {
              "properties": {
                "direction": {
                  "default": "benefit",
                  "enum": [
                    "benefit",
                    "cost"
                  ],
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "weight": {
                  "type": "number"
                }
              },
              "required": [
                "name",
                "weight"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "method": {
            "default": "weighted_sum",
            "enum": [
              "weighted_sum",
              "weighted_product",
              "topsis"
            ],
            "type": "string"
          },
          "options": {
            "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
            "items": {
              "type": [
                "string",
                "object"
              ]
            },
            "type": "array"
          },
          "scores": {
            "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
            "type": "object"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "score_options",
      "outputSchema": null
    },
    {
      "description": "Test how robust the winner is to changes in criteria weights. Sweeps each criterion's weight +/- 'variation' (default 0.2 = 20%) over 'steps' (default 10) increments, recomputes the ranking, and reports a robustness score, which criteria are most likely to flip the result, and the flip points.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "description": "Weighted criteria. Each: {name, weight (relative, >=0), direction: 'benefit' (higher better, default) | 'cost' (lower better)}.",
            "items": {
              "properties": {
                "direction": {
                  "default": "benefit",
                  "enum": [
                    "benefit",
                    "cost"
                  ],
                  "type": "string"
                },
                "name": {
                  "type": "string"
                },
                "weight": {
                  "type": "number"
                }
              },
              "required": [
                "name",
                "weight"
              ],
              "type": "object"
            },
            "type": "array"
          },
          "method": {
            "default": "weighted_sum",
            "enum": [
              "weighted_sum",
              "weighted_product",
              "topsis"
            ],
            "type": "string"
          },
          "options": {
            "description": "Named alternatives. Strings [\"A\",\"B\"] or objects [{\"name\":\"A\",\"scores\":{...}}].",
            "items": {
              "type": [
                "string",
                "object"
              ]
            },
            "type": "array"
          },
          "scores": {
            "description": "Score matrix. Object form: {\"Option A\": {\"Criterion 1\": 8, ...}, ...}. Array form: [{\"option\":\"Option A\",\"scores\":{...}}]. Or inline scores on each option object.",
            "type": "object"
          },
          "steps": {
            "default": 10,
            "description": "Number of weight steps per criterion (2-100).",
            "type": "integer"
          },
          "variation": {
            "default": 0.2,
            "description": "Fractional weight sweep, 0<v<=1. 0.2 = +/-20%.",
            "type": "number"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "sensitivity_analysis",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:e10797b87a82885ce3eef414f47d399e6041af257ba59abf5cb62d8234fc6c20 | sha256sum