← The evidence ledger
Evidence row 577862
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 14bbdf37-6c71-4625-a114-4ca8b00e1593
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 2806558f4c551f33de0b291935ab3037ea3a31ed98ac351fabe176a349c92dae
- Leaf
- 0x64a3ac2e0dd56c88a0fc8d4122e0b108ef9cf9ede8a446bba9eb97c6dfb62e11
What was observed
{
"count": 4,
"tools": [
{
"description": "今この店が受取注文(テイクアウト)を受け付けているか、最短の受取時刻、店の連絡先を返す。",
"inputSchema": {
"properties": {
"tenant_id": {
"description": "店舗ID(省略時は既定店)",
"type": "string"
}
},
"type": "object"
},
"name": "check_pickup_availability"
},
{
"description": "AIから受取注文できる店を探す(店名・料理の種類・エリアで絞る)。tenant_id が分からない時は最初にこれを呼び、利用者に店を選んでもらう。",
"inputSchema": {
"properties": {
"area": {
"description": "エリア(例: 世田谷)",
"maxLength": 40,
"type": "string"
},
"q": {
"description": "店名や料理の種類の一部(例: ピザ・ナポリ)",
"maxLength": 40,
"type": "string"
}
},
"type": "object"
},
"name": "find_stores"
},
{
"description": "店のお品書き(公開中の商品・税込価格・説明・オプション)を返す。注文の前に必ずこれで menu_id を確かめる。",
"inputSchema": {
"properties": {
"tenant_id": {
"description": "店舗ID(省略時はこのサーバーの既定店)",
"type": "string"
}
},
"type": "object"
},
"name": "list_menu"
},
{
"description": "受取注文(テイクアウト)を入れる。支払いは受取時に店頭(現金・カード・QR)。氏名と電話番号は必須で、店が受取時の本人確認と連絡に使う。注文前に必ず利用者に内容と受取時刻を確認すること。",
"inputSchema": {
"properties": {
"customer_name": {
"maxLength": 40,
"type": "string"
},
"customer_tel": {
"description": "利用者の電話番号(数字・ハイフン)",
"maxLength": 20,
"type": "string"
},
"items": {
"items": {
"properties": {
"menu_id": {
"description": "list_menu の id",
"type": "string"
},
"options": {
"description": "list_menu の option の id(任意)",
"items": {
"type": "string"
},
"type": "array"
},
"qty": {
"maximum": 20,
"minimum": 1,
"type": "integer"
}
},
"required": [
"menu_id",
"qty"
],
"type": "object"
},
"maxItems": 10,
"minItems": 1,
"type": "array"
},
"note": {
"maxLength": 200,
"type": "string"
},
"pickup_at": {
"description": "受取希望時刻 ISO8601(省略時は最短)",
"type": "string"
},
"tenant_id": {
"description": "店舗ID(省略時は既定店)",
"type": "string"
}
},
"required": [
"items",
"customer_name",
"customer_tel"
],
"type": "object"
},
"name": "place_pickup_order"
}
]
}What the leaf hashes
{"body":"2806558f4c551f33de0b291935ab3037ea3a31ed98ac351fabe176a349c92dae","id":577862,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793142779256188,"prev":null,"subject":"14bbdf37-6c71-4625-a114-4ca8b00e1593","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x64a32de768d1c9b749de2802ce3137b11fa1bcb4a1a75b99bb9198163f0077c1
- 0xc636f7a820b458ad9e88fb3f032e50bfa0d39fad3fd02eedfe8b99c518a94f6d
- 0x50d63a42a30ad724e85bace2d54ad7c2002d5fda49b1ff67aee1a902a8b00f16
- 0x09832bb17ab53ed0e88181a46319451fed25424cff4841c95c0afaac2cc4926c
- 0xdf5bcf049d62cca2a8d20579e76e4f1c6ab4e52832071b00d352060aac313fe7
- 0x6be4149320e22862657c7c5ffb625af8a55e310c569d1c824fa192fbbb63c2ac
- 0xdfc196099e62170811c84b20949b513ffc8b53eec5ad599116de49f3baad0f76
- 0x0ebb64e36bd2402284b25dde9b2b572ea7f9cfea7d0a5a7b45dfba56f90b8706
- 0xe00080918e87a836fbae59a1c4289d108b1b6caa1014ccdce14b55340d95168e
- 0x725fb2653a3ce9efe90e4061f968a0fd02bc9674ea5b21c084392f569996e59c
- 0xcd76c41dfcff13156d2af2cc6dfbdeb2edaf4851321395cdd37af3eba0f1a0a0
- 0x188b042e533a0dd4a8a233ee981012ab6f4d30710df7807c0e36d3d969103a6d
- 0x4c257542b0421f909cc313308d9054fb29b4b46d9dca1b83169d04797233fda2
- 0x3c5462812bd2f841e3d7deefc01555f18262fe5e0d5a7eb155330b7a7cb0388e
- 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
- 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4