← The evidence ledger
Evidence row 579237
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 392698e8-d48a-481f-8805-dbe627a334d4
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- c66ef81dfaec8f44423de4854cf719850a28ca2114a908f9878371620de21680
- Leaf
- 0x60a7249e7e5728cf7c57c3a502d7fd905b8ced7be8a2fa91ed78b6e00e603a15
What was observed
{
"count": 6,
"tools": [
{
"description": "The full text of an article or site page by slug, with citation and source labels. About describes stated experience; Services describes the offering; articles describe published views. None is independent verification. Cite the address.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"slug": {
"description": "The article slug from list_articles, or \"about\" or \"services\".",
"type": "string"
}
},
"required": [
"slug"
],
"type": "object"
},
"name": "get_article"
},
{
"description": "Catherine Ives-Yim's published articles (slug, title, standfirst, theme, publication label, address, length), optionally filtered by theme or a word in the title. Free to call; no model involved.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"contains": {
"description": "Only articles whose title or standfirst contains this text (case-insensitive).",
"type": "string"
},
"theme": {
"description": "Only articles in this theme (see list_themes).",
"type": "string"
}
},
"type": "object"
},
"name": "list_articles"
},
{
"description": "The free questionnaire tools on the site and, for one of them, its full question set: modules, questions, answer anchors or options, and the conditions under which a question applies. Use this to put the questions to a user before calling score_assessment.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"pack": {
"description": "A pack id (ladder, snapshot, strategy, cra) to get its questions; omit for the list.",
"type": "string"
}
},
"type": "object"
},
"name": "list_assessments"
},
{
"description": "The themes the articles are grouped under, with counts.",
"inputSchema": {
"additionalProperties": false,
"properties": {},
"type": "object"
},
"name": "list_themes"
},
{
"description": "Runs the same deterministic rules engine the website uses for one of the assessments and returns the headline, module scores, flags and the plan. No model is involved: the result is computed from published rules, exactly as a visitor to the site would get. Answers: scale questions take 0 to 3 (worst to best anchor) or \"dk\" for don't know; single-choice questions take the option value; multi-select questions take an array of option values, e.g. {\"CTX-markets\": [\"eu\", \"uk\"]}. Unknown question ids or invalid values are rejected with an error listing them. Unanswered questions lower confidence rather than the score, and the result carries an \"evidence\" field: with no scored questions answered the headline is \"Not enough answers\", and below half confidence the headline is marked provisional. The result is a diagnostic to guide a conversation, not advice.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"answers": {
"additionalProperties": true,
"description": "Question id to answer.",
"type": "object"
},
"pack": {
"enum": [
"ladder",
"snapshot",
"strategy",
"cra",
"cto"
],
"type": "string"
}
},
"required": [
"pack",
"answers"
],
"type": "object"
},
"name": "score_assessment"
},
{
"description": "Keyword search over the bundled writing and site pages. Accepts questions or keywords, excludes further-reading sections, and returns a best passage per source before additional passages. Includes citation and source labels. Read get_article before making broader claims. No model is involved; this is retrieval, not an answer or independent verification.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"limit": {
"default": 6,
"maximum": 12,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "Words or a short phrase. Up to 300 characters.",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search_articles"
}
]
}What the leaf hashes
{"body":"c66ef81dfaec8f44423de4854cf719850a28ca2114a908f9878371620de21680","id":579237,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793143344419988,"prev":null,"subject":"392698e8-d48a-481f-8805-dbe627a334d4","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x60a73b90c75529e648efd6fd1efc97edd9d9d69942607f6a4161c01d6ab9b6d8
- 0xbaf50bc9453ddb5d4672b0e08fe6e61cdca583480b0a06387f50af86af535e25
- 0x34d1969315df0ed47c9d69083fdf2cd013039497a440b4d2d129042df6215515
- 0x1d8b0d323a30e575e93c9ab77e7cd6eca63f12a1c95f11adb17ff203b36f2d52
- 0x552a498876025da80d5fe2d8d1c5b87ee1c397c994c7b887c019a0bbc78a737c
- 0x5e6fa59f9db8c3cc0013d16e375d36fcb1f9ec5c5f5b92c866b5f878c8e681bc
- 0x41c7db814f41b060b7bf0769432d66735af34ffdf98c276ac825838c2450e52a
- 0x47875328ca74b4069f1476885ed868b5216e094bb164ebc98ffe6fb656610b86
- 0x0746cf09b4c209a1fc7b32f3ed82ccd499a1c34055391d4ce613c75dfc82862b
- 0x6ccb51095e74562841cc1720bd23ea75d3d4ccfcddebaa04b4e769d4589a77ec
- 0x042ed023614c046dfcee504f2fb14ba7df71bf698e682b1391b1905d7f519255
- 0x4fbbcb97bbe92a4202db4cfe9ed5ce98ec76cb76473d9a37a3775c708528409e
- 0x38f17e73d675dd35d0dd4a9f0ebd22a3333bcd28f96e42d5dd126e08211ffc4a
- 0x4277e02be0b5d91d78bc2247e37d402572474ba896c2e8f45765c8dc4e244d36
- 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
- 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4