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Get one product's status

get_product
Read-only

Lifecycle, official or estimated price, key dates, claim count and how well-sourced the claims are. Works for products with no claims yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugYesFrom list_products, e.g. 'apple-watch'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / product_slug / description
      Added value: +"From list_products, e.g. 'apple-watch'"
  2. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the main safety behavior is covered. The description adds useful context by noting that price may be official or estimated and that the tool handles products with zero claims, but it does not describe response shape, error behavior, or the meaning of 'well-sourced' beyond the phrase itself.

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 short sentences carry all the information: the first lists the returned fields in order of importance, and the second adds the no-claims edge case. There is no filler or redundancy.

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?

For a single-parameter read-only lookup with no output schema, the field list gives an agent a clear picture of what will be returned, and the no-claims note covers the main edge case. It is slightly incomplete only in not clarifying how this relates to get_product_facts/get_claims, but that is more a usage-guideline concern.

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 input schema has 100% coverage for the single parameter product_slug, including a source ('From list_products') and an example ('apple-watch'). The description adds no parameter-specific detail, so it correctly relies on the schema.

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 title 'Get one product's status' identifies the verb and resource, and the description enumerates the returned data (lifecycle, price, key dates, claim count and sourcing quality). It does not explicitly distinguish itself from get_product_facts or get_claims, so it stops short of full sibling differentiation.

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?

The phrase 'Works for products with no claims yet' implies the tool is safe to call when a product has no claims, which is a useful edge-case guideline. However, the description never states when to prefer this tool over get_product_facts, get_claims, or compare_products, leaving the choice to inference.

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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