← The evidence ledger
Evidence row 222644
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 5b677b21-2b4e-4081-afe3-b02f269db0be
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 012859f9697f6675591761a7815f1840bdc05454adc8f88f5d3686514d051273
- Leaf
- 0xd422bfb7f2a718b5eadb7100e23819840553916d684bbb8590512d316a72461e
What was observed
{
"count": 6,
"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"
},
{
"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"
},
{
"description": "Server health, version, and capabilities. No parameters.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "health_check"
},
{
"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"
},
{
"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"
},
{
"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"
}
]
}What the leaf hashes
{"body":"012859f9697f6675591761a7815f1840bdc05454adc8f88f5d3686514d051273","id":222644,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793028176694426,"prev":null,"subject":"5b677b21-2b4e-4081-afe3-b02f269db0be","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
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- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae