Evidence row 309224

What was observed

{
  "count": 2,
  "tools": [
    {
      "description": "Display the Skybridge products you curated as an inline carousel for the client.\n\n## When to call\nCall this AFTER searching and curating, and BEFORE writing your recommendation. Avoid describing the products in text first since the carousel shows them.\n\n## What to pass\nPass the IDs of the 2-3 products you chose, in display order (most relevant first). Order is significant: the carousel shows them in this exact order and your recommendation must follow the same sequence. Pass distinct products, not several variants of the same one; the detail view lets the client explore a product's variants (colors, sizes, and so on).\n\n## After the carousel\nRecommend in carousel order so the client can follow along. The cards already show image, title, price, and key facts, so do not repeat them: add useful analysis tied to the client's need. Suggest a refinement the client has not addressed yet (from the available filters), never one they already used.\n\n## Accuracy\nUse only the data returned for each product. Never invent facts, materials, or availability. If the client asks about something not present, open that product's detail or search again before answering.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "ids": {
            "description": "Product IDs to present, in display order.",
            "items": {
              "type": "string"
            },
            "maxItems": 3,
            "minItems": 1,
            "type": "array"
          }
        },
        "required": [
          "ids"
        ],
        "type": "object"
      },
      "name": "render-carousel"
    },
    {
      "description": "Search the Skybridge winter-sports catalog: skis, goggles, and cold-weather apparel. Handles any query: a specific product, a category, a gift, or open browsing. Never assume something is unavailable — always search before responding.\n\nThe response is data only: matching products (title, ID, \"from\" price, rating, badges, description, facts). The raw results are for your eyes only; the client never sees them. Avoid characterizing the raw results to the client (how many, what categories).\n\nAct on the response as follows:\n\n- SEARCH: pass a keyword. Optionally scope with `category` (apparel, goggles, or skis) or `sort`. This is a small catalog — one focused search usually surfaces everything relevant (1+ calls).\n- REFINEMENT: if the user narrows to a category, re-search with that `category`. If they change intent, search with a new keyword.\n- CURATION: pick the best matches for the client's intent, grounding your choice in each product's description. If zero results, broaden the keyword and search again; do NOT call render-carousel on an empty set.\n- PRESENT: once you have 2-3 distinct, relevant products, call render-carousel with their IDs. Recommend products ONLY AFTER the carousel displays, and in the same order as in the carousel.\n\nThe sweet spot is 2-3 products.\n",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "category": {
            "description": "Restrict to one category. Only these three exist; omit to search all.",
            "enum": [
              "apparel",
              "goggles",
              "skis"
            ],
            "type": "string"
          },
          "keyword": {
            "description": "Short noun phrases extracted from conversational input, matched against product titles, descriptions, and SKUs. Never pass full sentences. Include color or material descriptors when the user mentions them (e.g. \"cyan skis\", \"fur hat\"). This is a small winter-sports catalog: skis, goggles, and cold-weather apparel. For vague or broad requests use a plain category term.",
            "type": "string"
          },
          "sort": {
            "description": "Sort order. Price sorts are applied over the fetched results.",
            "enum": [
              "price-asc",
              "price-desc",
              "newest",
              "name"
            ],
            "type": "string"
          }
        },
        "required": [
          "keyword"
        ],
        "type": "object"
      },
      "name": "search-products"
    }
  ]
}

What the leaf hashes

{"body":"4130f44dfd5127f26c38a61e32270bab80f31f817a87be817a39b7ef53f5915d","id":309224,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793058756624999,"prev":null,"subject":"5ebbcd1e-74e0-44fe-9ee4-3c5585e3a85b","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. 0x5358772968fd7e82db9cc63cc5f291f939b048a9c713840336b55e3fe50279ab
2. 0xc352e2ede17fbc8d91fb118173a5d9c8158eb5db06b8db5d44a3a72ba7192016
3. 0x1505885069f7b854940d7c51112745dc17cb63e083a2d40c9c676168089835a4
4. 0x724454392e802c613cac7f3a10071c1265a193364a0200ee3b1a1a4ace73cf71
5. 0x19f739ffa131a5802ad4ad451147bbef5cba1a51deb12afbb897c2fdecf59a40
6. 0xc2020fe2e23752688dc4bc9a50355dbf30a4b8d6ea8b61909f22742d52c87b45
7. 0xdc0561d7b735e1307884ae4d06f6a9aafcfb1d147d60d25e3fe13248495bc871
8. 0x420d206440564e613dd260a2dba5693112aabcfea78858302ff4191884bd60d4
9. 0x175a5f6751c4851108026bd2210212cb5527a0d7ba55dcee44a8906a28ccc808
10. 0xd9bbd72a69ca0e31e79dc40e77b469d8ab4afe2636f7905d8e4bb75b111f8a4b
11. 0xa1d1c99aa28ad1dadb7dae5386ee0342e06cf642d29909897d3feca675a6d839
12. 0x774d66905c34a786c6d34bf1c4491dbdb08f534c9eb5f76cf3de03385d28f388
13. 0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae