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review_summary

Get review ratings, score breakdown, and top customer reviews for a product from Amazon. Useful for purchase decisions and product quality assessment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinNoAmazon ASIN for exact product
queryNoProduct search query
countryNoCountry code (default: DE)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool fetches ratings and reviews from Amazon, but doesn't mention authentication, rate limits, or edge cases like empty results or ambiguity between asin and query. Basic behavior is covered, but depth is limited.

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 sentences, front-loaded with the primary function. The second sentence adds the usage context. Every word earns its place with no 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 simple retrieval tool with no output schema or annotations, the description covers the main output (ratings, breakdown, top reviews). It could be more explicit about parameter precedence or expected behavior when neither asin nor query is provided, but overall it is sufficient for a straightforward tool.

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%, so each parameter is already documented with clear descriptions. The tool description adds no additional parameter context, such as how to choose between asin and query, which would be useful. Baseline 3 is appropriate.

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?

The description clearly states the tool retrieves review ratings, score breakdown, and top customer reviews for a product from Amazon. This specific verb+resource combination distinguishes it from sibling tools for pricing, search, or stock.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides a clear use case: 'Useful for purchase decisions and product quality assessment.' This implies when to use the tool, though it does not explicitly name alternatives or say when not to use it.

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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