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Product Search

product_search
Read-onlyIdempotent

Branded product search.

Input Schema

NameRequiredDescriptionDefault
queryYes
numberNo
offsetNo
maxCaloriesNo
minCaloriesNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "query": "protein powder"
      +  },
      +  {
      +    "maxCalories": 150,
      +    "minCalories": 50,
      +    "number": 5,
      +    "query": "greek yogurt"
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "description": "Branded product search results",
      +  "type": "object"
      +}
  2. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, providing a clear safety profile. The description adds no behavioral context beyond 'branded'—no mention of result behavior, limits, or data source. It fails to build on the annotations.

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

Conciseness2/5

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

At two words, the description is under-specified rather than concise. It is short but lacks necessary details, so it fails to earn its place as a functional description.

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

Completeness1/5

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

Given a 5-parameter tool with no schema descriptions, the description is severely incomplete. It does not explain search behavior, filter semantics, or how it differs from sibling tools. The output schema exists but does not compensate for the lack of textual context.

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

Parameters1/5

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

Schema description coverage is 0% and the description provides no explanation of the parameters. The schema only includes an example, not semantic descriptions. The description does not help the agent understand what number, offset, maxCalories, or minCalories mean.

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

Purpose3/5

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

The description 'Branded product search' identifies the tool as a product search function, adding the modifier 'branded' which gives some specificity. However, it is vague about what 'branded' means and does not distinguish it from sibling tools like product_information or ingredient_search. It stops just short of being a tautology.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. No use cases, prerequisites, or exclusions are provided. The agent is left to guess based on the tool name alone.

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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