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Evidence row 218477

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint a117f845-b887-41ff-a8e7-024c89192e42
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
62e1702bf1e5eeeb0afc59c1894346bfb33cf3a129a8a703f8726154fb3e04e7
Leaf
0x8f5fd8878a3020acfa40087406bb2bdf06ddc26dc311b381567dc36bcaf69d63

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Convert one cooking amount between units: within volume or weight exactly, or between volume and weight using a built-in density for flour, sugar, brown sugar, butter, water, milk, rice, oats, cocoa or honey. Use for questions like 'how many grams is 2 cups of flour'. Do NOT use to change serving counts (use scale_recipe).",
      "inputSchema": {
        "properties": {
          "from": {
            "description": "Unit to convert from, e.g. 'cup'. Supported: tsp, tbsp, cup, fl_oz, ml, l, pint, quart, gallon (volume); g, kg, oz, lb (weight); each (count). Common spellings like 'cups', 'grams', 'tablespoon' also work",
            "type": "string"
          },
          "ingredient": {
            "description": "Ingredient name, required only for volume <-> weight; must contain one of flour, sugar, brown sugar, butter, water, milk, rice, oats, cocoa, honey (e.g. 'all-purpose flour')",
            "type": "string"
          },
          "to": {
            "description": "Unit to convert to, e.g. 'g'; same supported units as from",
            "type": "string"
          },
          "value": {
            "description": "Amount to convert, zero or positive, e.g. 2",
            "minimum": 0,
            "type": "number"
          }
        },
        "required": [
          "value",
          "from",
          "to"
        ],
        "type": "object"
      },
      "name": "convert_units"
    },
    {
      "description": "Total the cost of a recipe's ingredients and work out the cost per serving and per 10 servings. Use when budgeting a dish, pricing meal prep or comparing recipes on cost. Do NOT use to resize the recipe (use scale_recipe first, then price the scaled amounts here).",
      "inputSchema": {
        "properties": {
          "currency": {
            "description": "Currency code for display only, e.g. 'EUR'; default USD",
            "type": "string"
          },
          "ingredients": {
            "description": "Priced ingredients, e.g. [{\"item\":\"chicken\",\"cost\":8.5},{\"item\":\"rice\",\"cost\":1.2}]",
            "items": {
              "properties": {
                "cost": {
                  "description": "Cost of the amount used in the recipe, 0 or more, in the given currency",
                  "minimum": 0,
                  "type": "number"
                },
                "item": {
                  "description": "Ingredient name",
                  "type": "string"
                }
              },
              "required": [
                "item",
                "cost"
              ],
              "type": "object"
            },
            "minItems": 1,
            "type": "array"
          },
          "servings": {
            "description": "How many servings the recipe makes, positive, e.g. 4",
            "exclusiveMinimum": 0,
            "type": "number"
          }
        },
        "required": [
          "ingredients",
          "servings"
        ],
        "type": "object"
      },
      "name": "cost_per_serving"
    },
    {
      "description": "Combine several shopping or ingredient lists into one, summing the same item across lists (volumes and weights converted to a friendly unit) and noting which list each came from. Use when shopping for several recipes or meals at once. Do NOT use to resize one recipe (use scale_recipe) or price it (use cost_per_serving).",
      "inputSchema": {
        "properties": {
          "lists": {
            "description": "Shopping lists to merge (at least one item overall), e.g. [{\"name\":\"Pancakes\",\"items\":[{\"item\":\"milk\",\"quantity\":1,\"unit\":\"cup\"}]}]",
            "items": {
              "properties": {
                "items": {
                  "description": "Items on this list",
                  "items": {
                    "properties": {
                      "item": {
                        "description": "Item to buy, e.g. 'eggs'",
                        "type": "string"
                      },
                      "quantity": {
                        "description": "Amount, non-negative; omit for non-numeric items (listed in skipped_no_quantity)",
                        "minimum": 0,
                        "type": "number"
                      },
                      "unit": {
                        "description": "Unit such as cup, tbsp, g, kg, or a free label like 'can'; omit for plain counts",
                        "type": "string"
                      }
                    },
                    "required": [
                      "item"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "name": {
                  "description": "List label shown in from_lists, e.g. 'Saturday dinner'; default 'list N'",
                  "type": "string"
                }
              },
              "required": [
                "items"
              ],
              "type": "object"
            },
            "minItems": 1,
            "type": "array"
          }
        },
        "required": [
          "lists"
        ],
        "type": "object"
      },
      "name": "merge_shopping_list"
    },
    {
      "description": "Scale every ingredient in a recipe from one serving count to another (0.1x to 20x), with kitchen-friendly fraction hints; items without a quantity pass through unchanged. Use when cooking for more or fewer people. Do NOT use to change units (use convert_units) or to combine several recipes' ingredients (use merge_shopping_list).",
      "inputSchema": {
        "properties": {
          "from_servings": {
            "description": "Servings the recipe is written for, positive, e.g. 4",
            "exclusiveMinimum": 0,
            "type": "number"
          },
          "ingredients": {
            "description": "Recipe ingredients, e.g. [{\"item\":\"flour\",\"quantity\":2,\"unit\":\"cup\"},{\"item\":\"salt\",\"note\":\"to taste\"}]",
            "items": {
              "properties": {
                "item": {
                  "description": "Ingredient name, e.g. 'flour'",
                  "type": "string"
                },
                "note": {
                  "description": "Text shown instead of an amount when quantity is omitted, e.g. 'to taste' (default 'as needed')",
                  "type": "string"
                },
                "quantity": {
                  "description": "Amount, non-negative; omit for items like 'salt to taste'",
                  "minimum": 0,
                  "type": "number"
                },
                "unit": {
                  "description": "Unit such as cup, tbsp, g, or a free count label like 'clove' or 'egg'",
                  "type": "string"
                }
              },
              "required": [
                "item"
              ],
              "type": "object"
            },
            "minItems": 1,
            "type": "array"
          },
          "to_servings": {
            "description": "Servings wanted, positive; to_servings / from_servings must be 0.1-20, e.g. 10",
            "exclusiveMinimum": 0,
            "type": "number"
          }
        },
        "required": [
          "ingredients",
          "from_servings",
          "to_servings"
        ],
        "type": "object"
      },
      "name": "scale_recipe"
    }
  ]
}

What the leaf hashes

{"body":"62e1702bf1e5eeeb0afc59c1894346bfb33cf3a129a8a703f8726154fb3e04e7","id":218477,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793026571984522,"prev":null,"subject":"a117f845-b887-41ff-a8e7-024c89192e42","subject_kind":"endpoint"}

Proof

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

  1. 0x8f5ffafc31febb38bfbe69621aa76ed796ee0fbef039879162448bc2ac70641e
  2. 0x9c2419fe5355eda5c2537ecce95514457063d67c9722a039d6cd988b60d527cf
  3. 0xc7928b57fe519a8e81cda9eaf6c07b1cd390b124307e83b865a4d6739bd7bef6
  4. 0x017219f5399ebee9ac9f6e5685affed714b1f9683a56a4f79d1f34950e13b837
  5. 0x352d5f36583370de5e417f1caf280d3658a199e29d2cf0b71c34ff90f5a563be
  6. 0xc45347cfd7854c08e13c5b82439be40b3d86aac3b11bd87f4bfb553c5011986f
  7. 0x899d253938ce25c702504863b73367056b3d31e292f258422f79661b7d5e5521
  8. 0xdf1f64040a9e745875f4a4d03529c8cbfc7ce9df30b308e5ec55be0e2e8ed639
  9. 0x1d4ae0199a8d8a8087159b77999493f7543e255ef0b3188fbc84e95598dd83d2
  10. 0x8665760a589b1324397302f9a49dc33b42b22f68a2e06cfa1d55ff2fcfa7305c
  11. 0x4ef4c3a70c6b26977cbaf534a1ab9edcc651b2d385e682cd5a3f54a060ec0018
  12. 0x4634efb8094d1dd2874013b832ad8653e49400f57bf98efdcc5f925ed08d0f5b
  13. 0xc0cb184c9bdf71abcf18fda97bd59289153d120dbf8fee9f517b63bf303deb95
  14. 0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5
  15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON