Evidence row 263393

What was observed

{
  "count": 12,
  "tools": [
    {
      "description": "MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: \"<jwt>\" } after the user pastes, or with no args to get the link.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "token": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "authenticate"
    },
    {
      "description": "Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "connect"
    },
    {
      "description": "The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like \"find an MCP that does X\", \"consulta um CPF\", \"is there a tool for Y\". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "action": {
            "default": "search",
            "enum": [
              "search",
              "describe",
              "install",
              "uninstall",
              "subscribe",
              "cancel",
              "resume",
              "report_bug",
              "request_mcp",
              "list_tools",
              "invoke",
              "search_prompts",
              "get_prompt",
              "publish_prompt"
            ],
            "type": "string"
          },
          "arguments": {
            "default": "{}",
            "type": "string"
          },
          "cancel_comment": {
            "default": "",
            "type": "string"
          },
          "cancel_reason": {
            "enum": [
              "too_expensive",
              "missing_features",
              "switched_service",
              "unused",
              "customer_service",
              "too_complex",
              "low_quality",
              "other"
            ],
            "type": "string"
          },
          "conversation": {
            "default": "[]",
            "type": "string"
          },
          "immediate": {
            "default": false,
            "type": "boolean"
          },
          "limit": {
            "default": 10,
            "type": "number"
          },
          "mcp_id": {
            "default": "",
            "type": "string"
          },
          "message": {
            "default": "",
            "type": "string"
          },
          "prompt_body": {
            "default": "",
            "type": "string"
          },
          "prompt_category": {
            "default": "",
            "type": "string"
          },
          "prompt_description": {
            "default": "",
            "type": "string"
          },
          "prompt_slug": {
            "default": "",
            "type": "string"
          },
          "prompt_targets": {
            "default": [],
            "items": {
              "enum": [
                "claude",
                "chatgpt",
                "cursor",
                "lovable"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "prompt_title": {
            "default": "",
            "type": "string"
          },
          "prompt_tool": {
            "default": "",
            "type": "string"
          },
          "prompt_vars": {
            "default": "{}",
            "type": "string"
          },
          "query": {
            "default": "",
            "type": "string"
          },
          "report_context": {
            "default": "",
            "type": "string"
          },
          "request_details": {
            "default": "",
            "type": "string"
          },
          "request_name": {
            "default": "",
            "type": "string"
          },
          "tier_slug": {
            "default": "",
            "type": "string"
          },
          "tool_id": {
            "default": "",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "marketplace"
    },
    {
      "description": "Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "context": {
            "default": "",
            "type": "string"
          },
          "conversation": {
            "default": "[]",
            "type": "string"
          },
          "message": {
            "type": "string"
          }
        },
        "required": [
          "message"
        ],
        "type": "object"
      },
      "name": "report_bug"
    },
    {
      "description": "Show the current MCP platform and adapter versions.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "show_version"
    },
    {
      "description": "Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "toolkit_info"
    },
    {
      "description": "Lista as categorias de veículo da Webmotors.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "webmotors_category"
    },
    {
      "description": "Detalhe completo de um anúncio. Informe o `slug` retornado por wm_search (o caminho após /comprar, ex.: '/honda/civic/2-0-.../4-portas/2023/71895570'). Retorna specs, preços, vendedor, fotos e descrição.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "slug": {
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "webmotors_detail"
    },
    {
      "description": "Lista as opções de filtro da busca (marcas, modelos e demais facetas) para montar consultas válidas.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "webmotors_filters"
    },
    {
      "description": "Resolve uma localização (cidade/estado/geo) a partir de um texto livre, para filtrar a busca por região.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "query": {
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "webmotors_location"
    },
    {
      "description": "Preço médio de mercado do modelo de um anúncio (id = UniqueId de wm_search). Retorna { Make, Model, Version, Year, FipeCode, FipePrice, BiggestPrice, MediumPrice, SmallestPrice }. Diferencial sobre a FIPE: reflete o preço real pedido no marketplace.\n\nBulk support: accepts ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "id": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "number"
              }
            ]
          },
          "ids": {
            "items": {
              "anyOf": [
                {
                  "type": "string"
                },
                {
                  "type": "number"
                }
              ]
            },
            "type": "array"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "webmotors_market_price"
    },
    {
      "description": "Busca anúncios de veículos na Webmotors. Filtre por marca e modelo; pagine e ordene. Retorna { total, results[] } com { id, title, make, model, version, year, km, price, fipePercent, slug, detailUrl, seller, photo }. Use o `slug` em wm_detail e o `id` em wm_market_price.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "brand": {
            "type": "string"
          },
          "model": {
            "type": "string"
          },
          "order": {
            "type": "number"
          },
          "page": {
            "type": "number"
          },
          "path": {
            "type": "string"
          },
          "perPage": {
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "webmotors_search"
    }
  ]
}

What the leaf hashes

{"body":"102f383f029fbaeeb756152387a2b59fb5932c83cd7dbb44179d3a7ef7c3cd2b","id":263393,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793033422140722,"prev":null,"subject":"4cc68263-ad78-4445-9c58-33747d9f0222","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xb3dcd412384cbd0f6152d1002ae0bb26983e71979bfdcf27f86263d5ef2752ef
2. 0x498a0efbfc442dd72d19a08ea310a901d6431fab1c5ecb121ee72ff6604d77b1
3. 0xa510142f0681a8aa5d5bb8f7e50fc6156747eb18928a151552aae52a4009b31a
4. 0xbc0bf33752446e5259b293bd5b2cb060b4a5191c214b1caf5e10571dd27c3c45
5. 0x98fbd78b75d14fd7cec0a9ef6794859fe0d81cf3aa1e7b65120992a8b0b88643
6. 0x0afbcece58bcfe0e1956a0c9d7fe9396f0ec452eba73f2426f1d5075795b835b
7. 0xf219a16be6f019c78749e1017910a344daa34a1a4e9db65483963cfe3bccf8df
8. 0xa4d6ba21661b46644dc21e22c3055a93e5e4c5ee27e875439eafba540a62a664
9. 0x1febf46acae5d729433fefda7e1123eb690cce1d18b908d70421662873f455b7
10. 0xf04f1893fe6291cdbc16182b9a16bead5bf9b24bd4e846024218e2491f79cc69
11. 0xc50bb1c2185da1e4294f4829be5412051ce30550dd05a2a26962841b3ba2399d
12. 0x3d6ec9d5ef8daa604601742088e213da0a439db6eff6ce50ec3ffb264a60ddd3
13. 0x3b1c0e225d1b1cb24cd5d5ea4af2de20ed68a1eaf8b61924ed1b81e4b9cf7e39
14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae