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Evidence row 572354

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint bbc4b4ee-6ae0-4e82-b363-eedf8afb88f9
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
4b9faa6152492d26cc51bc6b25e973e03a5ebbfd25402c2faf6ba78b20f9db98
Leaf
0x2f4792f9816b03a59f5651d80f406c998aecbf4fe222f4fb464f3dba5e17370a

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Read a page found by search_docs.\n\nWithout a heading: the page's description and outline (top-level sections\nwith subsection counts). With a heading: that section's full text,\nincluding its subsections; continue long sections with next_offset.\noutline_depth=3 also lists subsections; use it only on long pages to find\none specific subsection.\n",
      "inputSchema": {
        "properties": {
          "heading": {
            "anyOf": [
              {
                "maxLength": 300,
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Heading to read, as listed in the outline (leading #s optional). Exact text first, case-insensitive, then a unique partial match; use 'Parent > Heading' when two headings share a name. Leave unset to get the page's outline.",
            "title": "Heading"
          },
          "offset": {
            "default": 0,
            "description": "Character offset into the section; pass the previous next_offset to continue a long section.",
            "minimum": 0,
            "title": "Offset",
            "type": "integer"
          },
          "outline_depth": {
            "default": 2,
            "description": "Outline depth when no heading is given: 2 lists top-level sections with subsection counts, 3 also lists the subsections.",
            "enum": [
              2,
              3
            ],
            "title": "Outline Depth",
            "type": "integer"
          },
          "url": {
            "description": "Page URL exactly as search_docs returned it.",
            "maxLength": 500,
            "minLength": 1,
            "title": "Url",
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "title": "read_sectionArguments",
        "type": "object"
      },
      "name": "read_section"
    },
    {
      "description": "Search the official documentation of Claude Code, Cursor, OpenAI Codex and MCP. Use it before answering any question about using, configuring or administering these products. Not for other products or general programming. If the answer could differ between products and the user hasn't said which one, ask.\n\nReturns one passage per page, with the page's one-line description and a\nrelevance score; under ~0.5 means the docs probably don't cover it. One\ntopic per call: split multi-part questions. Need more than the passage?\nCall read_section(url), or read_section(url, heading) for one of the\npassage's other_sections.\n",
      "inputSchema": {
        "properties": {
          "limit": {
            "default": 8,
            "description": "Pages to return, 1-20 (default 8).",
            "maximum": 20,
            "minimum": 1,
            "title": "Limit",
            "type": "integer"
          },
          "product": {
            "anyOf": [
              {
                "enum": [
                  "claude-code",
                  "cursor",
                  "codex",
                  "mcp"
                ],
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Only this product. Set it when the user has named the product, now or earlier in the conversation. Otherwise leave it empty: an unfiltered search still finds product-specific pages, while a wrong product hides the right ones.",
            "title": "Product"
          },
          "query": {
            "description": "What to find, in English: keywords or a short question, e.g. \"<product> <feature> <what you need>\".",
            "maxLength": 500,
            "minLength": 1,
            "title": "Query",
            "type": "string"
          },
          "response_format": {
            "default": "concise",
            "description": "`concise` (default): first 300 characters of each passage, enough to choose. `detailed`: full passages, about 800 tokens each. Start concise; re-run detailed with a small limit for the pages you need.",
            "enum": [
              "concise",
              "detailed"
            ],
            "title": "Response Format",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "search_docsArguments",
        "type": "object"
      },
      "name": "search_docs"
    }
  ]
}

What the leaf hashes

{"body":"4b9faa6152492d26cc51bc6b25e973e03a5ebbfd25402c2faf6ba78b20f9db98","id":572354,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793140692314167,"prev":null,"subject":"bbc4b4ee-6ae0-4e82-b363-eedf8afb88f9","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x2f472775e859bb0006c9be24dd4ce7000354219289f2491d80fa0536fc6b927c
  2. 0x1ac0aca68cf89def7283e2393d53d9909aa3b6ccb5194762c67b16e5169ba7b0
  3. 0x94839474d06995a833bf7732af08c6c177211474042be64e366234b223b5afd0
  4. 0x05ea2a700f3ec4198fdc8db8ea6d094b3360d372c4e5f7baffc4577f67b788d2
  5. 0xc1054fd40857369fd7f8ad017b6951511b99550637b0f7c541e40cdea867ff68
  6. 0x5d92c8eecc7be4c6bd305f27312b52023d03fb497aa2c34f65b8fa12592011c6
  7. 0x9ae776a65a3db3069ed779651e49b29c28babb4b8bd9d3ea1e4efcfd520cedeb
  8. 0x8924aafcd706556d88ef54e493d23675a27cfce9a21a9686cad1c9c8ec1638ea
  9. 0xc93af8c23419c12f056d022b6aed53f74b8c1e3804fc7797fe69a83df6a341bd
  10. 0xcb2ca9ab824056f7e354a29fb0c627eccacecbba9628e903cc3960727611d8bb
  11. 0xebaa56a29a2dfdf39f8c55fe4433bd513a26a783d93a8d85e51192ee9bb2860f
  12. 0x2d9c2517fb6dcdc0ce42dd3a93f7e33064509cbed0a9132fb1209ec8f33ef0ab
  13. 0x2a25cd9926d8f2ef4726fd2a80f77b1ca202b6c3ca56aeb2f520555c93efd434
  14. 0x595de2dea3b8fa56dbd6142dd78ae79f3e7169c631e41a844b100613abb3e430
  15. 0x8360ee1105e4d9f9312067cbbfd47c69c5948665ae582b9684a580c8f4e199e1
  16. 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
  17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON