addrbookFor publishers
← The evidence ledger

Evidence row 563067

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 523db119-aa63-42cf-ab25-96508870a805
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d47c27ad34a42cf931771749debf5d8d9c083ea3b7a11862127ad8d4bd7e8e4f
Leaf
0x93573b289f091542516350aa23970cebb8c4e75f1f64b61c71a3be0a3c5a9428

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Analyze Postgres SQL/migrations for destructive operations, locking risk, correctness traps (NULL handling that silently returns wrong results), anti-patterns, and query cost. Returns a deterministic verdict (ok/warn/block) with findings. Pass the optional `schema` argument (your CREATE TABLE/INDEX DDL) to also get EXPLAIN-based cost analysis run on a throwaway scratch Postgres — no separate tool or DB connection needed.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "dialect": {
            "const": "postgres",
            "type": "string"
          },
          "rowCountHints": {
            "additionalProperties": {
              "type": "number"
            },
            "description": "Optional map of table name to estimated row count for realistic cost estimates.",
            "type": "object"
          },
          "schema": {
            "description": "Optional CREATE TABLE/INDEX DDL. Providing it enables EXPLAIN-based cost analysis (seq scans on large tables, etc.) on a throwaway scratch Postgres; omit it for static safety analysis only.",
            "type": "string"
          },
          "sql": {
            "description": "The SQL to analyze (one or more statements).",
            "type": "string"
          }
        },
        "required": [
          "sql"
        ],
        "type": "object"
      },
      "name": "analyze_sql"
    },
    {
      "description": "Return the custom org policy set currently stored for your Pro key — the same rules analyze_sql enforces on top of the built-ins. Read-only; returns an empty list if none are set. Use set_policies to change them.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "get_policies"
    },
    {
      "description": "Replace the stored custom org policy set for your Pro key (this is also how you update or clear them: send the full new set to update, or an empty array to remove all). Each policy blocks or warns on an operation against matching tables (e.g. no DELETE on payments). Policies are declarative data — validated, never executed — and apply transparently to every later analyze_sql call made with this key. Use get_policies to read the current set.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "policies": {
            "description": "The full policy set (replaces any previously stored set; max 50).",
            "items": {
              "additionalProperties": false,
              "properties": {
                "action": {
                  "enum": [
                    "block",
                    "warn"
                  ],
                  "type": "string"
                },
                "message": {
                  "description": "Optional human message shown in the finding.",
                  "type": "string"
                },
                "operations": {
                  "description": "Operations this rule applies to.",
                  "items": {
                    "enum": [
                      "select",
                      "insert",
                      "update",
                      "delete",
                      "truncate",
                      "drop",
                      "alter"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                },
                "table": {
                  "description": "Exact table name or glob, e.g. \"payments\", \"audit_*\", \"*\".",
                  "type": "string"
                }
              },
              "required": [
                "table",
                "operations",
                "action"
              ],
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "policies"
        ],
        "type": "object"
      },
      "name": "set_policies"
    }
  ]
}

What the leaf hashes

{"body":"d47c27ad34a42cf931771749debf5d8d9c083ea3b7a11862127ad8d4bd7e8e4f","id":563067,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793137592080276,"prev":null,"subject":"523db119-aa63-42cf-ab25-96508870a805","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x93572f2a337cedcd88bbf5894e949649b694a28e0b1afb50ffdf3502a68e79ba
  2. 0x7cce18afbee18f573db87c925da40bdfa48fd4a6e3b9a6d0b99713ead4a2b6b9
  3. 0x364b4129698c5caf7dbd61f9b9e4cfd9c149700c78c0681b09ee6765b44234e5
  4. 0xc66b77b9392978a86f35daa8ca8abe4d549de8003d254754be364091f6657a78
  5. 0x3f6b1259adcf12035b66f3024e74b57afdf7a8fef71a9c2c9b622bb5ad10c066
  6. 0xa51b773826185db80773f0eaca5b586b820ffd111fcd1920b2cf07cade82d5b3
  7. 0x4088c97339ac21761d883b600082b8a13207e721d1ec4b3a88b4bedfe3a36533
  8. 0x941b616d14475d08c4f703234fc7e4a6b064fe2386df1d94f6381fba233298b4
  9. 0x5f7cab3b760fce47b9437889ee0d1ab04f2245d92b890c40ec06253603022f00
  10. 0x001e2fbd0c3e79f4abf52eea92556b3364585e138443456e12c92a9bbc0e53a3
  11. 0x223b6ff70aa897a0d2181f63f8038457f6caafaff29251cc49e8dd36940a8514
  12. 0x21b50531db6db8c65523fd5559cda8006afb66474d66107f3c29e6cd41ec3fbe
  13. 0x59c5c792b40d9054ce2b84a60af97fa54f2e1a2a369a6a52dc3f45de41128e97
  14. 0xa3c9c760ee424c178bab782711c2b9d3e15a80a6fde99165972cb75b306bb8b4
  15. 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
  16. 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON