← The evidence ledger
Evidence row 568268
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 47f316a7-0bcb-47a4-aa04-7ce84ee6e2b3
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 07bd6730f8313608d070d7a601ff1bf4620bf1b90da335d97d550cf63865d3da
- Leaf
- 0x380c8978eef2723d256244eb303786ed10397e5e6c80adf0760ade73dd839f6f
What was observed
{
"count": 3,
"tools": [
{
"description": "What recipes have people and Gusto shared on What's Cooking? Inputs (all optional): query (matched against titles, tags and ingredients), author (e.g. \"Gusto\"), limit (default 5, max 20). Returns short picks; call get_explore_recipe with an id for the full recipe. Example: {\"query\":\"chicken\",\"author\":\"Gusto\"}",
"inputSchema": {
"properties": {
"author": {
"description": "Only recipes by this author, e.g. \"Gusto\".",
"type": "string"
},
"limit": {
"description": "How many picks. Default 5.",
"maximum": 20,
"minimum": 1,
"type": "integer"
},
"query": {
"description": "A dish, ingredient or tag, e.g. \"chicken\" or \"vegan\".",
"type": "string"
}
},
"type": "object"
},
"name": "browse_explore"
},
{
"description": "What's the full recipe for this Explore pick? Inputs: id (from browse_explore, required), servings (optional; quantities are scaled when it differs from the original). Example: {\"id\":\"<id from browse_explore>\",\"servings\":4}",
"inputSchema": {
"properties": {
"id": {
"description": "The recipe id from browse_explore.",
"type": "string"
},
"servings": {
"description": "Scale to this many servings.",
"maximum": 48,
"minimum": 1,
"type": "integer"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "get_explore_recipe"
},
{
"description": "What should I cook tonight with what I have? Gusto, What's Cooking's chef, decides one complete dinner and returns the full recipe, steps, and a list of what to buy. Inputs (all optional): have (what is already in the kitchen, a list or a sentence), cuisine, servings (default 2, max 24), diet (hard constraints such as vegetarian, vegan, gluten-free), max_minutes, mood, skill. Salt, pepper, oil and water are assumed on hand. Call again with different inputs for another idea. Example: {\"have\":[\"chicken\"],\"cuisine\":\"Mexican\"}",
"inputSchema": {
"properties": {
"cuisine": {
"description": "e.g. Mexican, Thai, Italian.",
"type": "string"
},
"diet": {
"description": "Hard dietary constraints, e.g. [\"vegetarian\"].",
"items": {
"type": "string"
},
"type": "array"
},
"have": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "string"
}
],
"description": "Ingredients already on hand, e.g. [\"chicken\",\"rice\"] or \"chicken, rice and an onion\"."
},
"max_minutes": {
"description": "Total time limit in minutes.",
"minimum": 5,
"type": "integer"
},
"mood": {
"description": "e.g. cozy, light, celebratory.",
"type": "string"
},
"servings": {
"description": "How many people. Default 2.",
"maximum": 24,
"minimum": 1,
"type": "integer"
},
"skill": {
"description": "e.g. beginner, confident.",
"type": "string"
}
},
"type": "object"
},
"name": "whats_for_dinner"
}
]
}What the leaf hashes
{"body":"07bd6730f8313608d070d7a601ff1bf4620bf1b90da335d97d550cf63865d3da","id":568268,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138969090347,"prev":null,"subject":"47f316a7-0bcb-47a4-aa04-7ce84ee6e2b3","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x380c978e639f836a6fb507d51bb6dd6abe49cefcb5b42b5b3bc172f3a8aef0d8
- 0x59748da5b7fc3c5f707e572f7253306476d3a14597bdbf5a7621b68e3feb605e
- 0xc88e25f7eea4b16515d60a440e7d1be7fa56b3c8e0855447397e3842e856e19e
- 0x085b2a5d0aa9a4b69be4860d7b84c4c1506f5a1293eeda4b1e8536795c662b24
- 0xca271f7227cb847ee9a84b925457deef1adb5f0871a4602aee0cd71bfa9a277e
- 0x48abbf3dc702d343c27440f44376b4705b735a5eb76d4fb6a6ee49d7e4c552f3
- 0x023f13b17f022355087f4fcd4bfd319555e57ee8cc2682c465b21221655a426c
- 0x29dbe9aed5e6e7f3dd1fb7a47dfbbeabf3ec6e433069e950436a17ce0aa5809d
- 0xea09a0aaa8b4b2810549a67ea871f60fc055056f5f18a5fbdb4ae8323513321a
- 0x4d02885c426a5643d6eaa02b71a8ac16cd2cbc5c1e818b230f8d8610157cba05
- 0xa68b83bee31b674e2a75c182ac7153fa7260e48329b079cb30f4c3ff78a7ebff
- 0x5ad46fa78d79ba6d76c322cad1bc48cbf0c26dc875ba94214d44c9d3c0b36673
- 0x5a6a2d80130a2a2e783e8f8096057d594b53c7bc148344100f2c40afa809745f
- 0x42784d9809d120654630ee1b254a1dd90a2bbd3024aa180f1a59bbf53e9316e4
- 0x8360ee1105e4d9f9312067cbbfd47c69c5948665ae582b9684a580c8f4e199e1
- 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
- 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4