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BACH-AI-Tools

Real Time Amazon Data MCP Server

product_review_details

Fetch complete details for a specific Amazon product review by its ID. Select from multiple marketplaces and languages to get review fields like title, images, date, and country.

Instructions

Get the details of a specific product review by id

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoA comma separated list of review fields to include in the response (field projection). By default all fields are returned. Example: review_title,review_images,review_date,country
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,
review_idYesThe id of the product review for which to get details.
Behavior2/5

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

No annotations are provided, so the description carries full burden of behavioral disclosure. It does not state whether this is a read-only operation, any rate limits, auth requirements, whether the review might be missing/deleted, or what happens when an invalid review_id is passed. For a details-fetch tool with zero annotation coverage, more disclosure is expected.

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?

Single sentence, zero waste, and precisely worded. It is appropriately concise for what it communicates, though given the tool's complexity (4 params, projection, country/language options) a couple more sentences of context would be justified.

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

Completeness2/5

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

There is no output schema (false), and no annotations, yet the description offers only a single sentence. For a details tool with 4 parameters including field projection and international domain/language options, the description is underspecified. It doesn't mention default behavior of fields, whether review data is guaranteed, or what detail-level information (ratings, images, etc.) is returned.

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 100%, which raises the baseline to 3. However, the description adds no parameter-level detail beyond repeating what the schema already covers (review_id). The 'fields' projection parameter's behavior is only explained in the schema. The description itself contributes nothing additional on parameter semantics, so it sits slightly below the schema-covered baseline.

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?

The description clearly states the verb (Get), resource (product review), and scope (details by id). It distinguishes from siblings like product_reviews (list) and product_details (product-level), naming the specific resource type. However, it doesn't explicitly contrast with the sibling review-related tools.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool vs alternatives. It doesn't mention when one would need review details vs the product_reviews list tool or how the review_id is obtained (likely from a prior product_reviews lookup). No exclusions or prerequisites stated.

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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