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CrawlerData: Google Shopping & SERP

Google Shopping product details

google_shopping_product
Read-only

Details for a Google Shopping product_id: title, description, specs, images, rating and reviews summary. 1 credit.

Input Schema

NameRequiredDescriptionDefault
countryNous
languageNoen
product_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds a genuinely useful non-annotation trait: the cost ('1 credit'), which lets an agent budget calls. It still omits rate limits and the meaning/normalization of country and language, so it is not a 5.

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 tightly-packed sentence that is front-loaded with the resource and then lists the return payload, plus a short cost note. Every clause earns its place with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, enumerating the returned fields is the right move and is done well. However, two of three parameters are unexplained and the definition says nothing about results varying by country/language, which matters for a localized shopping lookup.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and only product_id is implied by the text; country and language are never mentioned in the description, so their defaults, format, and effect on results are undocumented anywhere. The description does not compensate for the coverage gap.

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?

States a specific verb+resource ('Details for a Google Shopping product_id') and enumerates the returned payload (title, description, specs, images, rating, reviews summary). This clearly separates it from the product_id-returning google_shopping_search and from google_shopping_sellers, though it never names those siblings explicitly.

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 implied: it takes a product_id, so an agent infers it is for fetching one known product rather than browsing. There is no explicit statement of when to prefer this over google_shopping_search or where a product_id comes from, leaving the routing 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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