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Evidence row 126758

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 288ff558-bbde-4467-8fe5-3af3a04528f8
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
975dd20dde199d76825abeb4de56a04bdcf5d747a4a675c25037299cde115a4c
Leaf
0x18556f721553a07cf5934b3f9a8cbf7070f6c779b58ad97484e9f9f6db624e6c

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Convert a document you already have (PDF, DOCX, HTML, plain text) to clean, LLM-ready markdown. Pass the file contents as base64. Supports reading only part of a large document: PDF page ranges, a heading outline, a single section, or a token cap.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "base64": {
            "description": "Base64-encoded file contents",
            "type": "string"
          },
          "filename": {
            "description": "Original filename, e.g. report.pdf — helps format detection",
            "type": "string"
          },
          "maxTokens": {
            "description": "Cap the returned markdown at roughly this many tokens, cutting at a paragraph boundary. When the output is cut, the result starts with a `> Truncated: ~X of ~Y tokens` line — narrow with pages or section rather than raising this.",
            "exclusiveMinimum": 0,
            "maximum": 9007199254740991,
            "type": "integer"
          },
          "mode": {
            "description": "\"full\" (default) returns the document body. \"outline\" returns just the heading tree — each line is `- [#3] Heading text (~120 tokens)`. For a long document, call with mode: 'outline' first, then fetch only what you need with section: '#3' or a heading title.",
            "enum": [
              "full",
              "outline"
            ],
            "type": "string"
          },
          "pages": {
            "description": "PDFs only: 1-indexed, inclusive page ranges to convert, e.g. \"1-3,5,8-\" (an open-ended range runs to the last page). Ignored with a warning for non-PDF formats.",
            "type": "string"
          },
          "section": {
            "description": "Return only one section: either \"#<n>\" using the index from a mode: 'outline' call (e.g. '#3'), or the heading text itself (case-insensitive; exact match wins, then prefix, then substring). Ignored when mode is 'outline'.",
            "type": "string"
          }
        },
        "required": [
          "base64"
        ],
        "type": "object"
      },
      "name": "convert_document_to_markdown"
    },
    {
      "description": "Fetch a URL (web page, PDF, DOCX, etc.) and convert it to clean, LLM-ready markdown. Extracts the main article content from web pages and preserves tables. Supports reading only part of a large document: PDF page ranges, a heading outline, a single section, or a token cap.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "maxTokens": {
            "description": "Cap the returned markdown at roughly this many tokens, cutting at a paragraph boundary. When the output is cut, the result starts with a `> Truncated: ~X of ~Y tokens` line — narrow with pages or section rather than raising this.",
            "exclusiveMinimum": 0,
            "maximum": 9007199254740991,
            "type": "integer"
          },
          "mode": {
            "description": "\"full\" (default) returns the document body. \"outline\" returns just the heading tree — each line is `- [#3] Heading text (~120 tokens)`. For a long document, call with mode: 'outline' first, then fetch only what you need with section: '#3' or a heading title.",
            "enum": [
              "full",
              "outline"
            ],
            "type": "string"
          },
          "pages": {
            "description": "PDFs only: 1-indexed, inclusive page ranges to convert, e.g. \"1-3,5,8-\" (an open-ended range runs to the last page). Ignored with a warning for non-PDF formats.",
            "type": "string"
          },
          "section": {
            "description": "Return only one section: either \"#<n>\" using the index from a mode: 'outline' call (e.g. '#3'), or the heading text itself (case-insensitive; exact match wins, then prefix, then substring). Ignored when mode is 'outline'.",
            "type": "string"
          },
          "url": {
            "description": "The http(s) URL of the document or page to convert",
            "type": "string"
          }
        },
        "required": [
          "url"
        ],
        "type": "object"
      },
      "name": "convert_url_to_markdown"
    }
  ]
}

What the leaf hashes

{"body":"975dd20dde199d76825abeb4de56a04bdcf5d747a4a675c25037299cde115a4c","id":126758,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793025636931291,"prev":null,"subject":"288ff558-bbde-4467-8fe5-3af3a04528f8","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. 0x1855dcbc8927959a7dfc317ead77cb981e53da2a8bdb0fc7346c804990745b64
  2. 0x83d4c37e9f7ecbd41495f2fbd5fa2675f8d9a8655711feb7d7db00a134156e4f
  3. 0xbd2314aec31d79c6f3861af0d1584b163fb93d751e71094e48a2fda4612c90b7
  4. 0x5e16e0868c5aaefbb72369b3ce2bd0b3cfe3b030d215ef7d6810fc828fed6c1e
  5. 0xaa85c156fce8afaee39f8b9ebafe9d7a9b4bcf5b3be12bc3a37fb0cd093e6698
  6. 0x458212f8a1915166661558b446626fb17081ea0d19e63176df9bcc320fa6cd84
  7. 0x0f0ca76275c10f63d96cde880cbe21b2b648490a0993a6e2f618eb18a113f7cb
  8. 0x4c89538cd3e8cfeaf4dad7d22f8aa469b3fc9dd1f32ad87602b8f12570fa9195
  9. 0x80aa64ce2bf6e31f5f88981fac2430f8954888b7e21f1f1f5064efe964f540b0
  10. 0x4b181a898f514ff9cb15440f5fc1c2a2f938b6e95da8f6b6ddad9ea761c0d44a
  11. 0x04d98d8716f171bd2264c6c49606521f410107287c5094c713f72cdf2fe1e1ed
  12. 0x15eab8feed5b3f08165d63b9f1aed508c0624966a05349e051f86f0c188707b5
  13. 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
  14. 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON