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iDevice Wearables

List tracked products

list_products
Read-only

Every product iDevice tracks, with its lifecycle (reported, announced, preorder, shipping, previous) and how many well-sourced reports it has (can be 0). Each entry includes its product_slug. 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. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare a safe read (readOnlyHint=true, openWorldHint=false), and the description adds genuinely useful context beyond them: the lifecycle enum values, the fact that a product may have zero reports, and the presence of product_slug. It does not address pagination or ordering, but the annotation bar is met.

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?

Three tight sentences, front-loaded with what the tool returns before the optional filter. No filler, and each clause carries information an agent needs.

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 does the work of describing the returned fields (lifecycle, report count, slug), which is appropriate. It leaves ordering and pagination unstated, a minor gap for a list endpoint that claims 'every product'.

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?

Schema description coverage is 100% and the single parameter is already documented there. The description's 'filters by name, e.g. iphone 18 pro' largely restates the schema example ('galaxy ring'), adding only mild confirmation that matching is on name words.

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?

States a specific verb and resource ('Every product iDevice tracks') plus the shape of each entry (lifecycle, report count, product_slug), which cleanly separates it from the singular get_product and the comparison-oriented compare_products sibling.

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?

Usage is only implied: enumerate all tracked products, optionally narrowing by name. It never states when to prefer get_product, compare_products, or search_reports, and gives no exclusions or prerequisites.

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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