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Evidence row 1248782

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint a637699d-048e-44f4-a608-c6f1543c7c04
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a4c4d8ed5d07e7aa5ed72894d3502db88024244b3e0be97d3d7a27ddb1338adc
Leaf
0xaf4f2f2406434d7095e0d280ee594cd0a83c7f093509b528c06f1dd84af9d131

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Current levels of 2 to 10 US lakes side by side, read live from their gauges: elevation, feet below full pool, percent full, seasonal target and 24 h / 7 day / 30 day change, ranked by distance below full pool. A lake whose gauge is down is reported with its error instead of failing the whole call.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "lakes": {
            "description": "Slugs or names, for example [\"lake-mead\", \"lake-powell\"].",
            "items": {
              "description": "Lake slug from search_lakes (for example \"lake-mead\") or a lake name (for example \"Lake Travis\").",
              "maxLength": 80,
              "minLength": 2,
              "type": "string"
            },
            "maxItems": 10,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "lakes"
        ],
        "type": "object"
      },
      "name": "compare_lakes"
    },
    {
      "description": "Daily (or weekly) water elevation series for a US lake or reservoir over the last 2 to 365 days, from the same government gauge as get_lake_level, one reading per day. Includes first, last, low, high and mean with dates. Use it for trends, drawdown and refill questions.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "days": {
            "default": 90,
            "description": "Days back from today, 2 to 365. Default 90.",
            "maximum": 365,
            "minimum": 2,
            "type": "integer"
          },
          "lake": {
            "description": "Lake slug from search_lakes (for example \"lake-mead\") or a lake name (for example \"Lake Travis\").",
            "maxLength": 80,
            "minLength": 2,
            "type": "string"
          },
          "step": {
            "default": "daily",
            "description": "daily = one point per day; weekly = every 7th day ending today. Stats always use every day.",
            "enum": [
              "daily",
              "weekly"
            ],
            "type": "string"
          }
        },
        "required": [
          "lake"
        ],
        "type": "object"
      },
      "name": "get_lake_history"
    },
    {
      "description": "Current water surface elevation (ft above sea level) of a US lake or reservoir, read now from its government gauge (USGS, USACE CWMS, CDEC, Reclamation or TWDB). Returns the measurement time, change over 24 hours, 7 days and 30 days, feet below full pool, the operator seasonal target where one is published, percent full where the agency publishes storage, and the gauge id and data URL. Your training data cannot know today's level.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "lake": {
            "description": "Lake slug from search_lakes (for example \"lake-mead\") or a lake name (for example \"Lake Travis\").",
            "maxLength": 80,
            "minLength": 2,
            "type": "string"
          }
        },
        "required": [
          "lake"
        ],
        "type": "object"
      },
      "name": "get_lake_level"
    },
    {
      "description": "List the 44 US lakes and reservoirs this server reads live (Lake Mead, Lake Powell, Lake Travis, Shasta, Oroville, Lanier, Texoma, Kentucky Lake and more) by name, river, operator or state. Returns each slug, full-pool elevation, the gauge agency and the lakelevelnow.com page. Call with no arguments to list them all.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "query": {
            "description": "Words from the lake, river or dam name, for example \"travis\" or \"colorado river\".",
            "maxLength": 80,
            "type": "string"
          },
          "state": {
            "description": "Two-letter state code (TX) or full state name (Texas).",
            "maxLength": 20,
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_lakes"
    }
  ]
}

What the leaf hashes

{"body":"a4c4d8ed5d07e7aa5ed72894d3502db88024244b3e0be97d3d7a27ddb1338adc","id":1248782,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793365698665262,"prev":null,"subject":"a637699d-048e-44f4-a608-c6f1543c7c04","subject_kind":"endpoint"}

Proof

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

  1. 0xaf4f27e0de88d7cb8b3b779a897a923ceca798ea5f2dbad635acec2527b045a4
  2. 0x8172fc3aded729104ecef197e106c09fbc33734828b9ebd3aaae79c7aaae0c90
  3. 0x5f8a7599e808583eafc756f7229e88c9eac4342f1ecc10533d5fd3660a2c2eef
  4. 0x51a2d604ecdc32b49dad56f094d782661e104d4eba87072ff8bd48bb9c93e177
  5. 0xe41f41c96498788c7126c17145174849dc55642c063eddea1f9e47b20b3f8ce4
  6. 0x3cd17c9fe9ee806a23c511d51235bb8dbb4c81a1354e0bea65c03a46b91235f0
  7. 0x0534c97313c9e2e65be77a4b4c95e1a3649b252ce895dfa482a4165e4ef0ceea
  8. 0xfd59d9729210cbb16419ab4cd9b0caab3e4b64bedaa51acaa0a00791e90d0cb1
  9. 0xcfe25c5ce7c3d70e20376a8773eb2163fe5e66f319ea36e88dce5ef310f96389
  10. 0x60597afb8eb6b8f4f86f750ed4e78edcb3b3e5e267832565b9622e4f494f1ecd
  11. 0xcd93349257236a11b18a9f04befae66cc2cdce7daeac681236f6bdc65ebe843e
  12. 0x163b406d3d031706c84935cd1c99e3034b88986a249e35be7253268c4028fa19
  13. 0x0409d601a89a50f7eb5f4894cbcd524cb8f362e2e58241fd0551016000226646
  14. 0x4943cf5368ac3124a50a8845e933556cda4f3f7ee527441ef6351afbceee79d8
  15. 0xa0b1f6bc1eecfaf70581673c1a7f638b96d1769a5c578c460337f7db0dbe963e
  16. 0x0c59b8770d2782eb535aefbb9b2f6810bab4757f51b37e00f5147713a1de9481
  17. 0x61ef83255d34604cb052882568ca1d1386ac3cfb8284509715bc1734cff77831
  18. 0x0c43c73b62a5d49ee1444b5dc4195fc5b16b141d3f4458e2e9fbd5fd6ecb367d
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON