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iDevice Wearables

Get price, dates and specs for a product

get_product_facts
Read-only

Official price (only when the maker announced or is selling it; otherwise labelled as an estimate), announcement and availability dates with their source, availability (is it on sale, and where to buy with the last price we read), a short compatibility summary, and specs. Every spec is marked Confirmed, Reported, Our read or No source on file, with the source outlet and date.

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

A3.6/5.0
Behavior4/5

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

Annotations only cover the safety profile (readOnlyHint=true, openWorldHint=false), so the description's disclosure of data provenance carries real weight: prices are 'official' only when announced or on sale and otherwise labelled an estimate, availability carries 'the last price we read' (a staleness signal), and every spec is tagged Confirmed/Reported/Our read/No source with outlet and date. It stops short of stating what an unknown slug returns or whether fields can be absent, but the reliability semantics are unusually rich.

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?

A single dense sentence-fragment with zero filler, front-loading price — the field an agent most likely needs — before dates, availability, compatibility, and specs. Nothing is repeated from the schema or annotations.

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 usefully stands in for one by enumerating the returned fields and their confidence labels, which is the main gap it needed to close for a read-only, one-parameter tool. It is only slightly incomplete on error/empty-result behaviour.

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?

With one parameter at 100% schema description coverage, the schema already documents product_slug and gives an example, so the baseline is 3. The description adds no format, resolution, or lookup semantics beyond that.

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 enumerates the concrete payload — official/estimated price, announcement and availability dates with source, availability and where to buy, compatibility summary, and specs — so the agent knows exactly what resource this returns. However, it never contrasts itself with the overlapping siblings get_product, get_detailed_facts, get_compatibility, get_in_the_box, or get_price_history, so disambiguation is left to inference.

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 explicit when-to-use statement, no exclusions, and no named alternative despite a crowded sibling set with obvious overlap (get_product, get_detailed_facts, get_price_history). The only implicit signal is the content list, which hints at scope but does not route the agent between tools.

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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