Trusteed Agentic Commerce

compare_products

Read-onlyIdempotent

Compare 2 to 5 products side-by-side with normalized attribute table and best-value recommendation.

Input Schema

Name	Required	Description	Default
`product_ids`	Yes	Array of product IDs to compare (2-5)

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 17, 2026

changedOutput schema / (root)

Previous value: -{
-  "$schema": "http://json-schema.org/draft-07/schema#",
-  "additionalProperties": true,
-  "properties": {
-    "bestValue": {
-      "anyOf": [
-        {
-          "additionalProperties": true,
-          "properties": {
-            "productId": {
-              "type": "string"
-            },
-            "reason": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "productId",
-            "reason"
-          ],
-          "type": "object"
-        },
-        {
-          "type": "null"
-        }
-      ]
-    },
-    "commonFields": {
-      "items": {
-        "type": "string"
-      },
-      "type": "array"
-    },
-    "comparisonTable": {
-      "additionalProperties": {
-        "additionalProperties": {
-          "type": "string"
-        },
-        "type": "object"
-      },
-      "type": "object"
-    },
-    "products": {
-      "items": {
-        "additionalProperties": true,
-        "properties": {
-          "attributes": {
-            "items": {
-              "additionalProperties": true,
-              "properties": {
-                "key": {
-                  "type": "string"
-                },
-                "value": {
-                  "type": "string"
-                }
-              },
-              "required": [
-                "key",
-                "value"
-              ],
-              "type": "object"
-            },
-            "type": "array"
-          },
-          "availability": {
-            "type": "string"
-          },
-          "averageRating": {
-            "anyOf": [
-              {
-                "anyOf": [
-                  {
-                    "not": {}
-                  },
-                  {
-                    "type": "number"
-                  }
-                ]
-              },
-              {
-                "type": "null"
-              }
-            ]
-          },
-          "currency": {
-            "type": "string"
-          },
-          "id": {
-            "type": "string"
-          },
-          "price": {
-            "type": "number"
-          },
-          "rating_provenance": {
-            "anyOf": [
-              {
-                "additionalProperties": true,
-                "properties": {
-                  "note": {
-                    "type": "string"
-                  },
-                  "origin": {
-                    "const": "merchant",
-                    "type": "string"
-                  },
-                  "strength": {
-                    "const": "claimed",
-                    "type": "string"
-                  },
-                  "verified": {
-                    "const": false,
-                    "type": "boolean"
-                  }
-                },
-                "required": [
-                  "origin",
-                  "strength",
-                  "verified",
-                  "note"
-                ],
-                "type": "object"
-              },
-              {
-                "type": "null"
-              }
-            ]
-          },
-          "reviewCount": {
-            "type": "number"
-          },
-          "title": {
-            "type": "string"
-          }
-        },
-        "required": [
-          "id",
-          "title",
-          "price",
-          "currency",
-          "availability",
-          "reviewCount",
-          "attributes"
-        ],
-        "type": "object"
-      },
-      "type": "array"
-    },
-    "recommendation_provenance_warning": {
-      "type": "string"
-    }
-  },
-  "required": [
-    "products",
-    "commonFields",
-    "comparisonTable",
-    "bestValue"
-  ],
-  "type": "object"
-}New value: +null

Changed6 schema fields changedSep 17, 2026

changedInput schema / additionalProperties
```
Previous value: -falseNew value: +true
```
changedOutput schema / additionalProperties
```
Previous value: -falseNew value: +true
```

changedOutput schema / properties / bestValue / anyOf

Previous value: -[
-  {
-    "additionalProperties": false,
-    "properties": {
-      "productId": {
-        "type": "string"
-      },
-      "reason": {
-        "type": "string"
-      }
-    },
-    "required": [
-      "productId",
-      "reason"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "additionalProperties": true,
+    "properties": {
+      "productId": {
+        "type": "string"
+      },
+      "reason": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "productId",
+      "reason"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]

changedOutput schema / properties / products / items / additionalProperties
```
Previous value: -falseNew value: +true
```
changedOutput schema / properties / products / items / properties / attributes / items / additionalProperties
```
Previous value: -falseNew value: +true
```

changedOutput schema / properties / products / items / properties / rating_provenance / anyOf

Previous value: -[
-  {
-    "additionalProperties": false,
-    "properties": {
-      "note": {
-        "type": "string"
-      },
-      "origin": {
-        "const": "merchant",
-        "type": "string"
-      },
-      "strength": {
-        "const": "claimed",
-        "type": "string"
-      },
-      "verified": {
-        "const": false,
-        "type": "boolean"
-      }
-    },
-    "required": [
-      "origin",
-      "strength",
-      "verified",
-      "note"
-    ],
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "additionalProperties": true,
+    "properties": {
+      "note": {
+        "type": "string"
+      },
+      "origin": {
+        "const": "merchant",
+        "type": "string"
+      },
+      "strength": {
+        "const": "claimed",
+        "type": "string"
+      },
+      "verified": {
+        "const": false,
+        "type": "boolean"
+      }
+    },
+    "required": [
+      "origin",
+      "strength",
+      "verified",
+      "note"
+    ],
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]

AddedSep 9, 2026
RemovedSep 1, 2026

Changed4 schema fields changedAug 24, 2026

addedInput schema / $schema

Added value: +"http://json-schema.org/draft-07/schema#"

addedInput schema / additionalProperties
```
Added value: +false
```

addedInput schema / properties

Added value: +{
+  "product_ids": {
+    "description": "Array of product IDs to compare (2-5)",
+    "items": {
+      "type": "string"
+    },
+    "maxItems": 5,
+    "minItems": 2,
+    "type": "array"
+  }
+}

addedInput schema / required
```
Added value: +[
+  "product_ids"
+]
```

AddedJul 10, 2026

TDQS

A3.8/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), so the bar is lower. The description adds genuinely useful context beyond them by disclosing what the tool produces: a normalized attribute table and a best-value recommendation, which is meaningful since no output schema exists. It does not mention error behavior for invalid or unavailable IDs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and resource, with the constraint and output description packed in without filler. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with no output schema, the description compensates well by summarizing the return structure and the recommendation behavior, while annotations carry the safety profile. Missing only edge-case handling (invalid IDs, fewer than two valid products), which is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single parameter and schema description coverage is 100%, with minItems/maxItems enforcing the same 2-5 range the description states. The description therefore adds no semantics beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (compare) and resource (products) plus the operational scope (2 to 5) and the shape of the result (normalized attribute table, best-value recommendation). It is easy to distinguish from get_product_details or search_products in spirit, but it never names a sibling or explicitly contrasts with them, so it falls short of the 5 tier.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 2-5 constraint and 'side-by-side' framing imply the usage context (multi-product evaluation), but there is no explicit when-to-use statement, no when-not-to-use, and no named alternative such as search_products or get_product_details. Usage is inferred rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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