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Amazon Seller Reviews

amazon_seller_reviews
Read-only

Get customer feedback on an Amazon seller by seller ID. Each review has author, text, star rating, date and whether the seller responded. Filter by star rating or positive/critical; page until has_next_page is false. Billed $0.005 per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, 1-50 (default: 1)
countryNoMarketplace country code (default: "us")us
seller_idYesAmazon seller ID
star_ratingNoStar rating filterall
get_sentimentNoAdd AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small surcharge per page, or per request on single-request endpoints.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / get_sentiment / description
      Previous value: -"Add AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small per-page surcharge."New value: +"Add AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small surcharge per page, or per request on single-request endpoints."
  2. Changed1 schema field changed
    • changedInput schema / properties / page / description
      Previous value: -"Page number, 1-20 (default: 1)"New value: +"Page number, 1-50 (default: 1)"
  3. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/non-destructive. The description adds value beyond them by disclosing pricing ($0.005 per request) and the shape of the returned reviews, plus the existence of a sentiment surcharge. It does not cover auth, rate limits, or pagination cap behavior explicitly.

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?

Three tight sentences, front-loaded with purpose, then filtering/pagination, then cost. No filler; every sentence conveys something actionable.

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?

With no output schema, the description supplies the essential return fields (author, text, star rating, date, seller responded), plus pagination and billing behavior. Annotations cover the safety profile, so nothing critical is missing for correct invocation.

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 the schema already documents seller_id, country, page, star_rating, and get_sentiment. The description reinforces the filter semantics and pagination loop but adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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?

States a specific verb+resource (get customer feedback on an Amazon seller) and the keying parameter (seller ID), which cleanly separates it from amazon_seller_products and amazon_seller_profile. An agent can distinguish this from siblings without opening a schema.

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?

Gives concrete operational guidance: filter by star rating or positive/critical, and page until has_next_page is false. It does not name alternatives or state when-not-to-use, so it falls short of a 5, but the invocation context is clear.

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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