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Evidence row 744317

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint aaf1069e-82f1-45e4-8383-cbf889d8453e
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
006d028b1a58d8f7fdfc28fd4541aba4555eae3905fa56324a90c773f64efc27
Leaf
0xc4dcea9608f411a799245cfbf002cf303179093d335df7d7f10290ed49e3bdb0

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Create one trip link for a group flying in from different US airports. Ranks the destinations you pass (2-6, e.g. from find_warm_destinations or your own shortlist; omit for our top 10) for everyone's airports, dates and trip type: flight time and nonstop availability from each airport, typical costs, weather. The group opens the link, sets their vibe and votes on a top 3. Can take 10-20 seconds.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "destinations": {
            "description": "Destination names to compare, e.g. ['Cabo', 'Miami', 'Charleston']",
            "items": {
              "pattern": "^[\\p{L} .,'&()-]{2,60}$",
              "type": "string"
            },
            "maxItems": 6,
            "minItems": 2,
            "type": "array"
          },
          "max_budget_per_person": {
            "description": "USD, flights and lodging",
            "maximum": 20000,
            "minimum": 100,
            "type": "integer"
          },
          "nights": {
            "default": 3,
            "maximum": 14,
            "minimum": 1,
            "type": "integer"
          },
          "origins": {
            "description": "Where everyone is flying from, and how many from each",
            "items": {
              "properties": {
                "airport": {
                  "description": "Home airport IATA code, e.g. JFK",
                  "pattern": "^[A-Za-z]{3}$",
                  "type": "string"
                },
                "people": {
                  "maximum": 50,
                  "minimum": 1,
                  "type": "integer"
                }
              },
              "required": [
                "airport",
                "people"
              ],
              "type": "object"
            },
            "maxItems": 10,
            "minItems": 1,
            "type": "array"
          },
          "passport": {
            "default": "everyone",
            "description": "Whether everyone in the group has a passport",
            "enum": [
              "everyone",
              "some_dont",
              "nobody"
            ],
            "type": "string"
          },
          "start_date": {
            "description": "YYYY-MM-DD",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "trip_type": {
            "enum": [
              "beach_pool",
              "bachelorette",
              "wine_food",
              "spa_wellness",
              "ski_snow",
              "city_break",
              "adventure"
            ],
            "type": "string"
          }
        },
        "required": [
          "trip_type",
          "origins",
          "start_date"
        ],
        "type": "object"
      },
      "name": "create_group_trip"
    },
    {
      "description": "Turn 2-6 restaurants from find_restaurants into one link the whole group votes on, whether or not they have agents. Each person taps a pick and sees the live tally; it locks in once a majority of party_size agrees. Returns the link for your person to share in the group chat.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "city": {
            "enum": [
              "chicago",
              "nyc",
              "sf",
              "la",
              "austin",
              "denver",
              "nashville",
              "dc",
              "miami"
            ],
            "type": "string"
          },
          "date": {
            "description": "YYYY-MM-DD",
            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
            "type": "string"
          },
          "party_size": {
            "maximum": 30,
            "minimum": 2,
            "type": "integer"
          },
          "restaurant_ids": {
            "items": {
              "type": "string"
            },
            "maxItems": 6,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "city",
          "restaurant_ids",
          "party_size"
        ],
        "type": "object"
      },
      "name": "create_restaurant_vote"
    },
    {
      "description": "The restaurants critics agree on in a US city (Michelin, Eater 38, The Infatuation), with vibe tags (fancy/chill, quiet/loud, quick/long, classic/new). Use the returned ids with create_restaurant_vote.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "city": {
            "description": "City slug",
            "enum": [
              "chicago",
              "nyc",
              "sf",
              "la",
              "austin",
              "denver",
              "nashville",
              "dc",
              "miami"
            ],
            "type": "string"
          },
          "limit": {
            "default": 10,
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "city"
        ],
        "type": "object"
      },
      "name": "find_restaurants"
    },
    {
      "description": "Warm-weather destinations for given months, ranked for a group flying from different US cities: average highs from published climate normals, nonstop availability from five major hubs, average flight time, passport needs.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "limit": {
            "default": 10,
            "maximum": 25,
            "minimum": 1,
            "type": "integer"
          },
          "months": {
            "items": {
              "enum": [
                "jan",
                "feb",
                "mar",
                "apr",
                "may"
              ],
              "type": "string"
            },
            "maxItems": 5,
            "minItems": 1,
            "type": "array"
          }
        },
        "required": [
          "months"
        ],
        "type": "object"
      },
      "name": "find_warm_destinations"
    },
    {
      "description": "Everything a group booking needs for one restaurant: how many it seats online and at its largest table, private room and buyout capacity, group menus, when reservations open, noise, kids, dress code, prices, what to order. Each answer links to its source. Pass a name or the group_profile slug from find_restaurants.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "city": {
            "description": "City slug",
            "enum": [
              "chicago",
              "nyc",
              "sf",
              "la",
              "austin",
              "denver",
              "nashville",
              "dc",
              "miami"
            ],
            "type": "string"
          },
          "restaurant": {
            "description": "Restaurant name or profile slug",
            "maxLength": 100,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "city",
          "restaurant"
        ],
        "type": "object"
      },
      "name": "get_restaurant"
    },
    {
      "description": "Link to decidewhere.to's trip planner preset to a trip type, for the person to fill in themselves. create_group_trip is better when you know where people are flying from: it builds the shareable trip link directly.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "trip_type": {
            "enum": [
              "beach_pool",
              "bachelorette",
              "wine_food",
              "spa_wellness",
              "ski_snow",
              "city_break",
              "adventure"
            ],
            "type": "string"
          }
        },
        "required": [
          "trip_type"
        ],
        "type": "object"
      },
      "name": "plan_group_trip"
    }
  ]
}

What the leaf hashes

{"body":"006d028b1a58d8f7fdfc28fd4541aba4555eae3905fa56324a90c773f64efc27","id":744317,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793172801466655,"prev":null,"subject":"aaf1069e-82f1-45e4-8383-cbf889d8453e","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (231336 rows).

  1. 0xc4dcf22c2bfac96ce3786d68ff8e86d4f6decd598372d63c49ca9e40cb74b776
  2. 0x4f065977e0b2d7c82340552b92adb32ba919deedc5d9452061c6f27007bf49f7
  3. 0x5344eb0f93d39b67b90f931dac8bc311e3f775300ca0508ba6ffa8d911a5eb47
  4. 0x8515a45becf0485acdd6faf818276cd5550009f8858023b7d533cf1623dd4955
  5. 0xc1e5547d736bb88106f0cbbb31fa3b61c6dbe241c77f99e3035be8c7bfc3a98a
  6. 0xee5deeb1f5ad63c0a0e1c73331e13d57985f40c0fbd56d99ce7470f3daacc3d1
  7. 0x50a685f37b1214fb5746ae22e3de53491dd76e55a9de7866a613e17ec1886aa9
  8. 0xd2528bfd7a71bc789f557ca79ffe2e91f4770737b8dcbc82664322d30a0ef3e5
  9. 0xcb24c9c7f5219012d4d6de26e2f40fbe003603a2e8fa1d1665b096d058df8ff4
  10. 0xb56afc6cf55fec86d24877b09d98c450d42bd297a3669dfbc5e1957e2ed4b27a
  11. 0xa0d2297a9b0e06cec7f1dac67675bad1fdd7e9c3d9f198d930c60791612ca653
  12. 0x5f08863a25cf1a39d719398abd6becab3a6cfe1a8f41536f1b66264c9b797268
  13. 0xc5e194226ea62d0d597c9eb0fabf3d09ccea2d41c32be367d96394755e91de3a
  14. 0x4dedfee32d37ea3cdc60e339d676b411d314f945b00a30f8e3bd1e0470526cf9
  15. 0xc21e7661f5d6220994a88cc71b1262eeee3b912a2d383d18f38a631c534bfd71
  16. 0x32beeeb960280bc48748681cb10297ede9403461fe9c8143fdf946548e552926
  17. 0xe08e8bd91858a8a10c46ecde9c29a6288b960987303173c5e882afb46ce91fa0
  18. 0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af
Day root
0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e
Chained
0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be
Published
On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae

How to check it · This row as JSON