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Evidence row 222093

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint dada639f-1841-4d75-84f7-bce5a0f274e0
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
50225fe70bab1e8a06e85b9665aa1a432ba3af11009e4a0abe1bb96a82e1a7c6
Leaf
0xd1684ab55ad350c8f8d2b8604b4985782f87bdc39ef54ba283641b5a51e984ab

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "Return public corpus coverage, source, freshness, and count metadata. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "title": "GetCorpusSummaryArguments",
        "type": "object"
      },
      "name": "get_corpus_summary"
    },
    {
      "description": "Retrieve one complete public bibliographic record by PMID after search. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "pmid": {
            "description": "One PubMed identifier to look up in Noodle's current public corpus, as 1 to 12 digits without a PMID prefix.",
            "pattern": "^[0-9]{1,12}$",
            "title": "Pmid",
            "type": "string"
          }
        },
        "required": [
          "pmid"
        ],
        "title": "GetPublicationDetailsArguments",
        "type": "object"
      },
      "name": "get_publication_details"
    },
    {
      "description": "Retrieve the bounded citation and semantic neighborhood around one PMID. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "from_work_id": {
            "anyOf": [
              {
                "pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]{0,127}$",
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Optional prior work ID for a reversible graph path.",
            "title": "From Work Id"
          },
          "pmid": {
            "description": "One PubMed identifier, as 1 to 12 digits.",
            "pattern": "^[0-9]{1,12}$",
            "title": "Pmid",
            "type": "string"
          }
        },
        "required": [
          "pmid"
        ],
        "title": "GetPublicationNeighborhoodArguments",
        "type": "object"
      },
      "name": "get_publication_neighborhood"
    },
    {
      "description": "Retrieve one complete public bibliographic record by Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "work_id": {
            "description": "Canonical Noodle Literature Corpus work identifier.",
            "pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]{0,127}$",
            "title": "Work Id",
            "type": "string"
          }
        },
        "required": [
          "work_id"
        ],
        "title": "GetWorkDetailsArguments",
        "type": "object"
      },
      "name": "get_work_details"
    },
    {
      "description": "Retrieve the bounded citation and semantic neighborhood around one Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "from_work_id": {
            "anyOf": [
              {
                "pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]{0,127}$",
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Optional prior work ID for a reversible graph path.",
            "title": "From Work Id"
          },
          "work_id": {
            "description": "Canonical work identifier to place at the graph center.",
            "pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]{0,127}$",
            "title": "Work Id",
            "type": "string"
          }
        },
        "required": [
          "work_id"
        ],
        "title": "GetWorkNeighborhoodArguments",
        "type": "object"
      },
      "name": "get_work_neighborhood"
    },
    {
      "description": "Semantically search Noodle's public PubMed-derived biomedical corpus. Include known PMID, DOI, or PMCID identifiers in the query so they can act as exact anchors. Results are for literature discovery and professional review, not diagnosis or treatment.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "cursor": {
            "anyOf": [
              {
                "maxLength": 128,
                "minLength": 8,
                "pattern": "^[A-Za-z0-9_-]+$",
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Opaque continuation cursor from the preceding response for the same query and sort order; omit for the first page.",
            "title": "Cursor"
          },
          "limit": {
            "default": 20,
            "description": "Maximum number of publications to return, from 1 to 25.",
            "maximum": 25,
            "minimum": 1,
            "title": "Limit",
            "type": "integer"
          },
          "query": {
            "description": "Natural-language literature question or exact PMID, DOI, PMCID, gene, variant, phenotype, HPO, or OMIM query. Include every known publication identifier when comparing or finding related papers.",
            "maxLength": 200,
            "minLength": 3,
            "title": "Query",
            "type": "string"
          },
          "sort": {
            "default": "relevance",
            "description": "Result ordering: relevance-ranked, newest publication first, or oldest publication first.",
            "enum": [
              "relevance",
              "newest",
              "oldest"
            ],
            "title": "Sort",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "SearchCorpusArguments",
        "type": "object"
      },
      "name": "search_biomedical_literature"
    },
    {
      "description": "Learn about the separate Helena Good MCP. This opt-in information action initiates no payment or outreach and changes no scientific result.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "support_helena"
    }
  ]
}

What the leaf hashes

{"body":"50225fe70bab1e8a06e85b9665aa1a432ba3af11009e4a0abe1bb96a82e1a7c6","id":222093,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793027811185454,"prev":null,"subject":"dada639f-1841-4d75-84f7-bce5a0f274e0","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xd1687a097e667580767d6e5f24ce33734b05885fb182c500a6a65219b55d6849
  2. 0x8e487889f026d56a34e935224ab50a44dfd7071daebec0ef41fba0ddcd4e625c
  3. 0x05433ffb3f857154448460c397f375e3a0c555ed7176f5c16fff51054bd5bcfe
  4. 0x0102a96a40b056e7f1f0c341952c998cf6b11dd68b6df7c2de82c53b4ecb5579
  5. 0xea8b808366d361d9171fd40a5e1625d5a5f91a929be2e9131483872e5b2d6da4
  6. 0x1b1cdefd12d044c1f6e074ac5af26f2d1ceea4f9e80cd6c3a2e6153b51d7c6b0
  7. 0xbec09404d7cd0c7f5de654d1e0ff0146c7bf3f1605395234c0774ad02bfb693f
  8. 0xace049bb7f2708819690655f09b08442414740beb2fe9b68abc695c43541c1a2
  9. 0x35eb5978e25ac6d537082f4ea6c6a25934ff6c541003e7e235a1eae0751cea6b
  10. 0xdefcd4fc2ebdfaa82bec33833639fbb6712ab7a9bb3beafebc53c8b103648d9a
  11. 0xcbb746ffeda31ff1f1b0d9f74705fed23a3c2abac5d325d65e8e867a7b5e6307
  12. 0xa4ec009cd8db00b48fa2e4df84088950b4d34c37254de09f5e3789441c0c5e73
  13. 0x889eefefef2d4457fe6114f397df813a5cbb85011a6f40309b54ddcd4aba3bd1
  14. 0xefabf1105e09cf52c12c58e60cbb5048b9ac3f02631d1816a926e14bdd86fbdf
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON