← The evidence ledger
Evidence row 301927
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint acac4cf9-75b5-4ec6-adaa-496aa38044d2
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- d8ef8e60f89e47cbde80431515cea0ad23a487f78c1955ba1a1602de1119e41a
- Leaf
- 0x2647e15e81436dc6ab37c62e202e5095eae2d8c3a3ea01ac333f4cc9dc782ef0
What was observed
{
"count": 1,
"tools": [
{
"description": "Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, the AI front desk for clinics, provider-side insurance-claims automation, Cliniko and Nookal integration, security and compliance pages, case studies, pricing and blog posts.\n\nUse it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use.\n\nReturns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic.\n\nRead-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.",
"inputSchema": {
"properties": {
"ai_search_options": {
"description": "Optional retrieval tuning. Omit for the defaults: hybrid search, 8 results, score threshold 0.35.",
"properties": {
"retrieval": {
"properties": {
"context_expansion": {
"description": "Neighbouring chunks from the same page to include around each hit (default 0).",
"maximum": 3,
"minimum": 0,
"type": "integer"
},
"match_threshold": {
"description": "Minimum relevance score for a chunk to be included (default 0.35); raise for precision, lower for recall.",
"maximum": 1,
"minimum": 0,
"type": "number"
},
"max_num_results": {
"description": "Maximum chunks to return (default 8).",
"maximum": 50,
"minimum": 1,
"type": "integer"
},
"retrieval_type": {
"description": "hybrid (default) fuses keyword and vector ranking; keyword for exact phrases or product names; vector for paraphrased questions.",
"enum": [
"hybrid",
"vector",
"keyword"
],
"type": "string"
}
},
"type": "object"
}
},
"type": "object"
},
"query": {
"description": "What to look for, as a natural-language question or keywords, e.g. \"how does claims pre-authorisation work\" or \"Cliniko integration\". 3-15 words works best; one topic per call.",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search"
}
]
}What the leaf hashes
{"body":"d8ef8e60f89e47cbde80431515cea0ad23a487f78c1955ba1a1602de1119e41a","id":301927,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793054357080158,"prev":null,"subject":"acac4cf9-75b5-4ec6-adaa-496aa38044d2","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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- 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
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- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae