Evidence row 293050

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Use this when the user wants to know whether text fits a limit: an essay minimum or maximum word count, a custom character limit, or platform limits for X/Twitter (280 weighted), Threads, Bluesky, LinkedIn, Instagram captions, SEO title tags, meta descriptions, or SMS segments. Returns pass or fail, how far over or under, and where to cut. Pass the text exactly as written. Does not shorten or rewrite the text and does not post anything.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "exclude_citations": {
            "description": "Leave out in-text citations: APA (Smith, 2020), (Lee et al., 2019, p. 12), MLA (Smith 23), page refs (p. 4), and numeric [3]. Example: true.",
            "type": "boolean"
          },
          "exclude_headings": {
            "description": "Leave out headings: Markdown # lines and short title lines directly above a paragraph. Example: true.",
            "type": "boolean"
          },
          "exclude_quotes": {
            "description": "Leave out passages inside double quotation marks (\"...\", curly quotes, guillemets). Example: false.",
            "type": "boolean"
          },
          "exclude_reference_list": {
            "description": "Leave out everything from a References, Works Cited, or Bibliography heading to the end. Example: true.",
            "type": "boolean"
          },
          "language": {
            "description": "Optional BCP 47 language code, e.g. ja. Improves word splitting for Japanese, Chinese, and Thai; readability scores are only given for English.",
            "maxLength": 20,
            "type": "string"
          },
          "max_characters": {
            "description": "A custom character limit (counted as user-perceived characters), e.g. 500.",
            "maximum": 100000,
            "minimum": 1,
            "type": "integer"
          },
          "max_words": {
            "description": "Maximum allowed word count, e.g. 2000.",
            "maximum": 100000,
            "minimum": 1,
            "type": "integer"
          },
          "min_words": {
            "description": "Minimum required word count, e.g. 1500.",
            "maximum": 100000,
            "minimum": 1,
            "type": "integer"
          },
          "platforms": {
            "description": "Platforms to check, e.g. [\"x\",\"linkedin\"]. x: X/Twitter 280 weighted characters (links 23, emoji and CJK 2). threads: 500. bluesky: 300 graphemes. linkedin: 3,000. instagram: caption 2,200. meta_title: 60. meta_description: 160 (155 safer). sms: 160 GSM-7 or 70 Unicode per message. If nothing is given, x, threads, bluesky, linkedin, and instagram are checked.",
            "items": {
              "enum": [
                "x",
                "threads",
                "bluesky",
                "linkedin",
                "instagram",
                "meta_title",
                "meta_description",
                "sms"
              ],
              "type": "string"
            },
            "maxItems": 8,
            "type": "array"
          },
          "text": {
            "description": "The exact text to count, copied verbatim from the user without edits (up to 100,000 characters). Example: The quick brown fox jumps over the lazy dog.",
            "maxLength": 100000,
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "check_length_limits"
    },
    {
      "description": "Use this when the user wants a word count, character count (with or without spaces), sentence or paragraph count, reading or speaking time, readability, or keyword density for text they provide, including essay counts without citations, quotes, headings, or the reference list. Pass the text exactly as written. Handles up to 100,000 characters and Japanese, Chinese, and Thai word splitting. Does not rewrite, shorten, translate, or grade the text, and does not read files or URLs.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "exclude_citations": {
            "description": "Leave out in-text citations: APA (Smith, 2020), (Lee et al., 2019, p. 12), MLA (Smith 23), page refs (p. 4), and numeric [3]. Example: true.",
            "type": "boolean"
          },
          "exclude_headings": {
            "description": "Leave out headings: Markdown # lines and short title lines directly above a paragraph. Example: true.",
            "type": "boolean"
          },
          "exclude_quotes": {
            "description": "Leave out passages inside double quotation marks (\"...\", curly quotes, guillemets). Example: false.",
            "type": "boolean"
          },
          "exclude_reference_list": {
            "description": "Leave out everything from a References, Works Cited, or Bibliography heading to the end. Example: true.",
            "type": "boolean"
          },
          "language": {
            "description": "Optional BCP 47 language code, e.g. ja. Improves word splitting for Japanese, Chinese, and Thai; readability scores are only given for English.",
            "maxLength": 20,
            "type": "string"
          },
          "text": {
            "description": "The exact text to count, copied verbatim from the user without edits (up to 100,000 characters). Example: The quick brown fox jumps over the lazy dog.",
            "maxLength": 100000,
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "count_text"
    }
  ]
}

What the leaf hashes

{"body":"1305e76661d0aa7a797e09bdc701b65a01f15ffa7100098d90eebcd9d1df076d","id":293050,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793049137924846,"prev":null,"subject":"041cd63e-0766-4caa-9341-55adb591af87","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x3ce0a14b8076624dc36c9a25a44aec0cb2d37e01f09e24d0505f717e02df6ddc
2. 0x2cc15a5c9e2ca392ab320054eb2c96cd9ae11ad481ff276f758ac576e7c4c67f
3. 0x9c23646b3379bbc2fc12b48815fe2a6d25ad5ed5985bf38bc3a8aebe3ef30fcf
4. 0x776cfaa229a3fed284640bd49c99235208de3a1c8d480662748f52835c1619d3
5. 0x4705a7083558e39ab30af4c05afa14048894ccdbe0ff0660fb99c897823e21ec
6. 0xb0e2d6b56cc575d0975d0c89df63a454546be0667c31a994424af2dd6106cea1
7. 0x2bd3b20a35192b6efc2a0a5483dae83a71568a6d6c6c9e85b2df739279145783
8. 0x0c284845ab69debd69c8241dc0773eaed394187b0945788bbef28cfc8c4fa144
9. 0x1c592f2665e7b81579da157f1d44a1e38ac2b0cdb7ad29c373d89d63f325fbb8
10. 0xae66718d5a1d562c4f24366c92ce0f9cda65031931b8a838a2d71f1f81f474ea
11. 0xd7dd18a37a5bb07e81a8083d8d1469e052ceebb2814b00f5a8d4f4cd181a5108
12. 0xd04df0f7f3be4d014b4cea8172ada286fbcf5bcb32ae1b281704fd75627b661b
13. 0x215f432600b78f2e7c9629cd10ce6ce4b7f3351b0b71f3f2c7dcb8e650f6cd63
14. 0x7f594f5609f388d64d3cda87b5631d393ee8300bb09bad71f150113a5886ee33
15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae