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List tracked products

list_products
Read-only

Every product iDevice tracks, with its lifecycle (rumored, announced, preorder, shipping, previous) and how many well-sourced claims it has (can be 0). Use this first to find the product_slug for the other tools. Optional query filters by name, e.g. 'iphone 18 pro'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoWords in the product name, e.g. 'galaxy ring'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / query
      Added value: +{
      +  "description": "Words in the product name, e.g. 'galaxy ring'",
      +  "type": "string"
      +}
  2. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the read-only nature is covered. The description adds useful behavioral context: it returns lifecycle stages, claim counts that can be 0, and optional name filtering. It does not mention pagination, ordering, or response details, but it goes beyond the annotations meaningfully.

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?

Two sentences carry all essential information: what is returned, the lifecycle/claims detail, the primary use-case, and the optional filter. No fluff or repetition; the most important guidance is front-loaded.

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?

With no output schema, the description still communicates the key return elements: products, lifecycle, claims count, and product_slug. It stops short of specifying response shape, pagination, or ordering, which is a minor gap for a list tool that could return many products.

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?

The only parameter, query, is already fully described in the schema as 'Words in the product name'. The description reinforces that it is optional and gives another example, but adds little meaning beyond the schema. With 100% schema description coverage, baseline 3 is appropriate.

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

Purpose5/5

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

Description states a specific verb-resource pair ('list products'), defines scope ('Every product iDevice tracks'), and adds distinguishing attributes (lifecycle, claims count). It also names its role in the workflow ('Use this first to find the product_slug'), which differentiates it from siblings like get_product and search_claims.

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

Usage Guidelines4/5

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

The description explicitly says to use this tool first to find the product_slug for other tools, giving clear contextual guidance. It does not explicitly name when-not-to-use or alternative tools, but the primary use case is well communicated.

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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