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BACH-AI-Tools

Real Time Amazon Data MCP Server

seller_reviews

Retrieve paginated Amazon seller reviews and feedback from any seller profile, with filters for star rating and market to analyze customer sentiment.

Instructions

Get and paginate through Amazon Seller reviews / feedback as shown on the Seller profile page (e.g. https://www.amazon.com/sp?seller=A1D09S7Q0OD6TH). Each page contains up to 5 reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoThe page of seller feedback results to retrieve. Default: 11
fieldsNoA comma separated list of seller review fields to include in the response (field projection). By default all fields are returned. Example: review_star_rating,review_date
countryNoSets the Amazon domain, marketplace country, language and currency. Default: US Allowed values: US, AU, BR, CA, CN, FR, DE, IN, IT, MX, NL, SG, ES, TR, AE, GB, JP, SA, PL, SE, BE, EG
languageNoThe language of the results. In case not specified, results will be returned in the default domain language. Supported languages per country: US: en_US, es_US AU: en_AU BR: pt_BR CA: en_CA, fr_CA FR: fr_FR, en_GB DE: de_DE, en_GB, cs_CZ, nl_NL, pl_PL, tr_TR, da_DK IN: en_IN, hi_IN, ta_IN, te_IN, kn_IN, ml_IN, bn_IN, mr_IN IT: it_IT, en_GB MX: es_MX NL: nl_NL, en_GB SG: en_SG ES: es_ES, pt_PT, en_GB TR: tr_TR AE: en_AE, ar_AE GB: en_GB JP: ja_JP, en_US, zh_CN SA: ar_AE, en_AE PL: pl_PL SE: sv_SE,
seller_idYesThe Amazon Seller ID for which to get seller reviews
star_ratingNoOnly return reviews with a specific star rating or positive / negative sentiment. Default: ALL Allowed values: ALL, 5_STARS, 4_STARS, 3_STARS, 2_STARS, 1_STARS, POSITIVE, CRITICAL
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It discloses the pagination behavior (up to 5 reviews per page) and the data source (Seller profile page). However, it doesn't describe rate limits, the response format, what happens when no reviews exist, or whether this tool mutates anything. For a read operation, the disclosure is moderate but not complete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the core purpose and data source with a concrete example. It's front-loaded with the main intent and adds the URL and pagination detail. No wasted words, though the pagination detail could arguably be its own clarifying sentence.

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 paginated read tool with 100% schema coverage demonstrating all 6 parameters, the description provides the essential context (source URL, page size). No output schema exists, so returning review fields like star_rating and review_date are reasonably covered. The description is adequate though it could briefly note the return includes reviewer info.

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%, so the schema fully documents all 6 parameters with individual descriptions. The description doesn't add much parameter meaning beyond the schema—it only mentions pagination implicitly. The field projection and star_rating filtering are covered by schema but not elaborated in the description. Baseline 3 is appropriate given full schema coverage.

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 (Get and paginate through), the resource (Amazon Seller reviews/feedback), and provides a concrete URL example. It distinguishes from siblings like seller_profile and product_reviews since it specifically targets the Seller profile page feedback. The page-size detail ('up to 5 reviews') further clarifies scope.

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 description implies pagination usage via the URL context but doesn't explicitly state when to use this vs alternatives. Among siblings, product_reviews likely overlaps, but no differentiation is given. No explicit 'when not to use' guidance is provided, though the pagination mention provides some implied context.

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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