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Evidence row 569896

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 87a6fae6-3552-46e5-ba3a-53b92017cf02
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
6a9b6bf1e6ca356246a7cccc3b0cecf32e9b6c3088eb54426680bb243d4cda2e
Leaf
0x73223bc24a15a35a11a6c36ae13368b036882bd06677e73498e260a275237252

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Strictly validate JSON and report the exact line and column of the first error with a plain explanation, plus duplicate-key warnings and structure stats. Optionally pretty-print or minify without changing any value (big numbers keep full precision). Use this before claiming JSON is valid or when locating a syntax error in long JSON.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "format": {
            "default": false,
            "description": "Return the formatted JSON.",
            "type": "boolean"
          },
          "indent": {
            "default": 2,
            "description": "Spaces per level (0 = minify) or \"tab\".",
            "oneOf": [
              {
                "enum": [
                  0,
                  2,
                  4
                ],
                "type": "integer"
              },
              {
                "enum": [
                  "tab"
                ],
                "type": "string"
              }
            ]
          },
          "sort_keys": {
            "default": false,
            "type": "boolean"
          },
          "text": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "check_json"
    },
    {
      "description": "Exact counts for a text: characters (with and without spaces, emoji counted as one), words, sentences, paragraphs, lines, UTF-8 bytes, plus reading and speaking time. Language models see text as tokens and miscount — never estimate counts or check length limits yourself; call this tool. Works for any language, including Chinese, Japanese, Arabic and Turkish.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "locale": {
            "description": "BCP 47 language tag such as \"en\", \"tr\" or \"ja\" for language-specific word rules.",
            "type": "string"
          },
          "text": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "count_text"
    },
    {
      "description": "Find every difference between two texts, line by line, word by word or character by character, and return counts plus a unified diff. Use this instead of comparing long texts yourself — small changes are easy to miss. Options to ignore whitespace and letter case.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "changed": {
            "type": "string"
          },
          "ignore_case": {
            "default": false,
            "type": "boolean"
          },
          "ignore_whitespace": {
            "default": false,
            "type": "boolean"
          },
          "mode": {
            "default": "line",
            "enum": [
              "line",
              "word",
              "char"
            ],
            "type": "string"
          },
          "original": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "diff_text"
    },
    {
      "description": "Create a standards-compliant QR code image for a link, text, Wi-Fi login, contact card (vCard), email, SMS, WhatsApp chat, phone number or map location. You cannot draw a scannable QR code yourself — always use this tool. Codes are static and never expire.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "address": {
            "type": "string"
          },
          "background": {
            "default": "#ffffff",
            "type": "string"
          },
          "body": {
            "type": "string"
          },
          "email": {
            "type": "string"
          },
          "error_correction": {
            "default": "M",
            "description": "Higher survives more damage but makes a denser code.",
            "enum": [
              "L",
              "M",
              "Q",
              "H"
            ],
            "type": "string"
          },
          "first_name": {
            "type": "string"
          },
          "foreground": {
            "default": "#000000",
            "type": "string"
          },
          "hidden": {
            "type": "boolean"
          },
          "last_name": {
            "type": "string"
          },
          "latitude": {
            "type": "number"
          },
          "longitude": {
            "type": "number"
          },
          "message": {
            "type": "string"
          },
          "organization": {
            "type": "string"
          },
          "password": {
            "description": "Wi-Fi password.",
            "type": "string"
          },
          "phone": {
            "description": "With country code for WhatsApp, e.g. +905551234567.",
            "type": "string"
          },
          "security": {
            "enum": [
              "WPA",
              "WEP",
              "nopass"
            ],
            "type": "string"
          },
          "size": {
            "default": 1024,
            "description": "PNG width in pixels.",
            "maximum": 4096,
            "minimum": 128,
            "type": "integer"
          },
          "ssid": {
            "description": "Wi-Fi network name.",
            "type": "string"
          },
          "subject": {
            "type": "string"
          },
          "text": {
            "description": "For type \"text\".",
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "type": {
            "default": "text",
            "enum": [
              "url",
              "text",
              "wifi",
              "vcard",
              "email",
              "sms",
              "whatsapp",
              "phone",
              "geo"
            ],
            "type": "string"
          },
          "url": {
            "description": "For type \"url\"; https:// is added when missing.",
            "type": "string"
          },
          "website": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "generate_qr"
    }
  ]
}

What the leaf hashes

{"body":"6a9b6bf1e6ca356246a7cccc3b0cecf32e9b6c3088eb54426680bb243d4cda2e","id":569896,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793139546074111,"prev":null,"subject":"87a6fae6-3552-46e5-ba3a-53b92017cf02","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. 0x73213122569049d2cf680e22ed8bb42f002b19751ea5658f4280d413bc72bddf
  2. 0x42759264e4acada1d0d8b3c1137f8dc1831110b457bf23879f7a3cf74447d149
  3. 0xef3eed896086da6032ed56824dfd9b30baac261ae26668e3e7db1f0264804319
  4. 0xb1bf71140ef4435d508e78662c2a701efa6f37b72151f6c5e35acb0d129ebaba
  5. 0x49d98052a16bc1ed18bd6f45779d045609f627b57352692f031b0852c60de853
  6. 0xd539187a6c92faf54e6b9ab490ab58aa6b2bff92063ebeccb22b485a03e56c92
  7. 0x911f8d50d2c4949061e14b77b2abb253d50861c23f68fa1c753120db27b30181
  8. 0x9b1c74b98d40afe29f69202cc625e535ed4fb7587f9f623b1e38f5dbccd2543a
  9. 0xc1b05d91dcd055cd7d683a013dad2dac786b72601a5ebed78aa8b5b73d75bd07
  10. 0x7f2a99b149f63aa97762c8289399ee8ed994807b28bfca51df3a659282990633
  11. 0x23a51a936f60011ce90a404c26ca8b5c81a512eb324bd00dcb5ce643c0b38c8e
  12. 0x8a2168d13e43e2c8b0f508ca779f90beef60501499eeab439eb7d23816a97bc4
  13. 0x2926e99aefa0ff2e14a67a3ae10a7f6e753ce4b799c6fe531f8cbf8d33b31a66
  14. 0xb2ae53d841a55a805fb4078b1a7d44e08a81aba4be3690bac3a5b4c366bf39da
  15. 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
  16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON