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iDevice Wearables

Get one product's status

get_product
Read-only

Lifecycle, official or estimated price, key dates, availability (on sale or not, release date and its basis, where to buy), report count and how well-sourced the reports are. Works for products with no reports yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugYesA product_slug, e.g. 'apple-watch'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / product_slug / description
      Previous value: -"From list_products, e.g. 'apple-watch'"New value: +"A product_slug, e.g. 'apple-watch'"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), and with no output schema the description usefully discloses the shape of the response — lifecycle, price with official/estimated distinction, availability basis, report count and sourcing quality. It also flags the empty-report case. It omits nothing critical, but adds no auth, rate-limit, or staleness context.

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

Conciseness4/5

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

One dense noun-phrase sentence that front-loads the most important fields (lifecycle, price, dates, availability) and ends with the edge-case note. No filler, though the comma-separated field list is slightly heavy to parse.

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 compensates by enumerating the returned fields, and the sole input is documented in the schema. Given the tool's modest complexity, an agent has enough to call it correctly; only sibling disambiguation is missing.

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, product_slug, and schema description coverage is 100%, so the schema already carries the burden. The description adds no format or example detail beyond what the schema provides, which is the expected baseline here.

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?

The description states a specific resource (one product) and enumerates what status means: lifecycle, price, key dates, availability, report count and sourcing quality. That is a clear verb+resource, though it never names the sibling tools (get_product_facts, get_price_history, get_reports) that overlap with these same fields, so an agent must infer which one to pick.

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: the natural read is 'call this for a single product's summary.' The one explicit guideline is the edge case 'Works for products with no reports yet,' which is genuinely useful, but there is no statement of when to prefer this over get_product_facts or get_price_history.

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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