Evidence row 1225387

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "按风格 id（或中文名）取一个风格：定义、生成用提示词、感受词、年代地域，以及它对应的图片（thumb 320 / full 960 绝对地址，带 kind/credit/license）。kind=work 是有出处的真作品，synthetic 是 AI 示意，placeholder 是占位图。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "id": {
            "description": "风格 id（如 synthwave）或中文名（如 合成器波）",
            "maxLength": 64,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "style_get"
    },
    {
      "description": "把一句中文/英文口语描述解析成感受词与视觉风格。默认纯本地词典（免费、不联网）；本地一个词都没命中且允许时，才上云。返回 score 是相对值不是概率，styles[].matched 是可以直接引用给用户看的命中词。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "allow_cloud": {
            "default": false,
            "description": "本地零命中且本机没装引擎时，是否允许上云（远端默认关闭；显式传 true 才会消耗额度）",
            "type": "boolean"
          },
          "lang": {
            "default": "auto",
            "description": "用哪个语义引擎：auto 按是否含汉字判定。中文问句请用中文整句，英文问句请用英文整句，中英混写会落到中文引擎",
            "enum": [
              "auto",
              "zh",
              "en"
            ],
            "type": "string"
          },
          "quota": {
            "description": "已购额度令牌（响应头 X-FS-Quota 的值）。本机也可用环境变量 FS_QUOTA；远端 MCP 客户端没法设环境变量，就用这个参数",
            "maxLength": 256,
            "type": "string"
          },
          "styles": {
            "default": 5,
            "description": "返回几个视觉风格",
            "maximum": 20,
            "minimum": 0,
            "type": "integer"
          },
          "text": {
            "description": "要解析的描述，最长 500 字",
            "maxLength": 500,
            "minLength": 1,
            "type": "string"
          },
          "words": {
            "default": 6,
            "description": "返回几个感受词",
            "maximum": 12,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "word_analyze"
    },
    {
      "description": "列出全部感受词（带共享度）或视觉风格（带定义与词集规模）。调 analyze 之前先拉一次可避免名字拼错。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "kind": {
            "default": "words",
            "description": "枚举哪一类",
            "enum": [
              "words",
              "styles"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "word_list"
    },
    {
      "description": "查一个感受词：落在哪些风格、对立词是什么、常一起出现的词、是否标识词。纯本地查表。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "word": {
            "description": "要查的词，如「留白」「枯淡」",
            "maxLength": 30,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "word"
        ],
        "type": "object"
      },
      "name": "word_lookup"
    },
    {
      "description": "返回词表版本、规模（词/风格/变种/挂靠率）以及是否配置了云端额度。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "word_status"
    }
  ]
}

What the leaf hashes

{"body":"737ed62da031a57292e5af2e406176546aeb911a4a4a01917ad66beb2f720bd4","id":1225387,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793327077534354,"prev":732529,"subject":"a5d7a268-3568-4b4a-98fc-597f042bb768","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-30 (243099 rows).

1. 0x71faa8cb78ff5b1211aa0dbc752b49b55db4ec3b50eb4733cc45b83944dd5d37
2. 0xbcde1a837a0a5e9988e978592074d6da6c75fb947e460d821e1cdb1e7c49e8b5
3. 0x36b02f0563161bb948b996ef674ce061439d4cd90a773d5c6b8beb2ce1d3a88e
4. 0xca472ce942c9e89c712cecd38467addd638baf4a158ee82a9d56734a6e224e75
5. 0xa034fccca76e4657d98e90f4e7714ec0af49f6787749a909d60530d3a94992ad
6. 0x0ab1519084829bdbe6c5ca94e92750752d242897e2c428f114a7b93f1c06e216
7. 0x69bd118c9ef203d3b2c51a8a87d47697c13ed6a48f231c7774e2aabfca2fee40
8. 0x6f768909c3e6f42194fc61cd941a710c04b9e33fbc4153837db8fb7cc57bd68d
9. 0x14cb19226f23b05c973e4d72d28cb5c3ee07027c1f44f080270afde63764496c
10. 0xd2b6c862179e7a852dfe2d6e6a539534a088cea4f19bfdaf9be1a853c6d2b118
11. 0x229e8fa8762efcb22073eaa521ca9fb0fdb077539f4ab99681d62bd6350e6fd1
12. 0xead7b9b5ca26a82aafe5ba5c839f18ecb3ec6cb926cf44fbd987b4ff6db22ac6
13. 0xc49b39d1d5f1a9f4fc18bb83adeb6cd4a85dbf836296581eb9e9e717cc889fd7
14. 0x75bcbdd2a0d7acdea21f6011126339c8e33a476ec0a76842480cf5bf70db6a72
15. 0xdf25f5d38e3fb54d3e66e3bf876db529f619041e0d21f0bc35b80003418e3d9c
16. 0xdbaaffa44665d1fa60d33d2c4075bd87629b76d01a6ee63e621e78590303b56d
17. 0xffe660edb9e5c6e3449a49454634c3e7b2f9fe703e5697f723b021735647ab7e
18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147

Day root

0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875

Chained

0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822

Published

On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861