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get_product_reviews

Read-only

πŸ” RECOMMENDED STEP β€” Fetch product reviews and authenticity consensus before making purchase decisions. Returns: average rating, trust score (0.0-1.0), review sentiment analysis, authenticity flags (fake reviews, seller issues, negative trends), and recent reviews with verified purchase status. Always call this for each product before adding to cart to verify quality and detect scams.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default: 1)
limitNoMax reviews to return (default: 10)
site_idYesRegistered site ID
product_idYesProduct ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reviewsNo
authenticity_consensusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds value by detailing the return fields (average rating, trust score, authenticity flags) and emphasizes safe usage, which confirms the non-destructive nature.

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 with no wasted words. Front-loaded with the recommendation, followed by concise list of outputs and usage directive. Efficient and to the point.

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

Completeness5/5

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

For a tool with moderate complexity, the description is complete: it specifies when to use, what it returns, and aligns with the output schema. No gaps remain.

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 coverage is 100% with all parameters described. The description does not add further parameter semantics but stays neutral. Baseline score of 3 is appropriate as no additional meaning is provided.

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 verb 'fetch' and resource 'product reviews and authenticity consensus', and distinguishes from sibling tools by recommending it before purchase decisions.

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?

Explicitly states 'Always call this for each product before adding to cart', providing clear context for when to use. No explicit alternatives mentioned, but the recommendation is unambiguous.

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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