Evidence row 573241

Observed 27 Oct 2026, 22:43 UTC, by probe.mcp/1.

Kind: mcp.tools
About: endpoint 853dec7c-9a57-4dcd-a33c-14ad60e2efc3
Recorded: 27 Oct 2026, 22:43 UTC
Previous row: None: the first of its kind about this subject
Body SHA-256: e2b2337f2a6c3e3138bcbe7b4446a64b6eab303650c7d175ec4230aaff522c67
Leaf: 0x09b0a992d21763381bd2865f081b3d6f66d8d39cc47440d62fab678510e6b32f

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "商品名・型番を指定して楽天市場内で最安値を比較します。送料・ポイント還元込みの実質価格で順位付けして返します。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "max_price": {
            "description": "上限価格（円）",
            "exclusiveMinimum": 0,
            "type": "integer"
          },
          "max_results": {
            "default": 5,
            "description": "表示件数（最大10件、デフォルト5件）",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "商品名・型番・キーワード（例: 「Anker PowerCore 10000」「iPhone15 ケース」）",
            "minLength": 1,
            "type": "string"
          },
          "spu_rate": {
            "default": 5,
            "description": "楽天ポイントSPU倍率（デフォルト5）",
            "maximum": 16,
            "minimum": 1,
            "type": "number"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "compare_prices"
    },
    {
      "description": "楽天市場でキーワードと予算からおすすめ商品を探します。ポイント還元後の実質価格とレビュー評価で上位5件で返します。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "budget": {
            "description": "予算（円）。指定するとポイント実質価格が予算内の商品を優先します",
            "exclusiveMinimum": 0,
            "type": "integer"
          },
          "hits": {
            "default": 5,
            "description": "表示件数（最大10件）",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "keyword": {
            "description": "探したい商品のキーワード",
            "minLength": 1,
            "type": "string"
          },
          "spu_rate": {
            "default": 5,
            "description": "楽天ポイントSPU倍率。楽天カードなし=3、カードあり=5、カード+アプリ=7（デフォルト5）",
            "maximum": 16,
            "minimum": 1,
            "type": "number"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "recommend_for_consumer"
    },
    {
      "description": "目的地・日程・予算・移動時間を指定して楽天トラベルでビジネスホテルを検索します。Google Mapsで実際の移動時間を計算して絞り込みます。",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "adult_num": {
            "default": 1,
            "description": "宿泊人数（大人）",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "budget_per_night": {
            "default": 6000,
            "description": "1人1泊の上限予算（円）例: 6000",
            "exclusiveMinimum": 0,
            "maximum": 1000000,
            "type": "integer"
          },
          "checkin_date": {
            "description": "チェックイン日 (YYYY-MM-DD)",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "checkout_date": {
            "description": "チェックアウト日 (YYYY-MM-DD)",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "destination": {
            "description": "目的地（駅名・地名・施設名）例: 「東京駅」「渋谷スクランブル交差点」",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          },
          "hits": {
            "default": 5,
            "description": "表示件数（最大10件）",
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "max_travel_minutes": {
            "default": 10,
            "description": "目的地までの最大移動時間（分）",
            "maximum": 60,
            "minimum": 1,
            "type": "integer"
          },
          "travel_mode": {
            "default": "walking",
            "description": "移動モード: walking=徒歩 / transit=電車",
            "enum": [
              "walking",
              "transit"
            ],
            "type": "string"
          }
        },
        "required": [
          "destination",
          "checkin_date",
          "checkout_date"
        ],
        "type": "object"
      },
      "name": "search_business_hotel"
    }
  ]
}

What the leaf hashes

{"body":"e2b2337f2a6c3e3138bcbe7b4446a64b6eab303650c7d175ec4230aaff522c67","id":573241,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793140990978168,"prev":null,"subject":"853dec7c-9a57-4dcd-a33c-14ad60e2efc3","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).
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Day root: 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained: 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published: On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON