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JavaScript
Remote

audible_product_reviews

Fetch customer reviews for an Audible audiobook by ASIN, including ratings, review text, helpful votes, and dates. Supports pagination for browsing pages of public catalog data.

Instructions

Get an Audible audiobook's customer reviews. Returns a page of an Audible audiobook's customer reviews (author, title, body, overall/performance/story ratings, helpful votes, submission date). Credential-free public catalog data from api.audible.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesAudible ASIN
pageNoZero-based result page, default 0
limitNoMax reviews, default 10, max 50

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.0

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It adds valuable context: the data is credential-free, comes from the public catalog via api.audible.com, and returns a page of reviews. This goes beyond the minimal 'get reviews' statement. It does not mention rate limits or error behavior, but the core behavioral traits (auth-free read, paginated response) are disclosed.

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?

The description is two sentences with no filler. The first sentence front-loads the action and resource, and the second efficiently enumerates the return fields. Every clause contributes meaningful information.

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?

Given there is no output schema, the description compensates by listing the returned fields. It also states the data source and credential-free access, covering the main concerns for an agent deciding whether to call it. It does not describe pagination mechanics or error conditions, but the essentials are present.

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 parameters (asin, page, limit) are already documented in the input schema. The description adds little beyond implying pagination via 'returns a page'. It does not clarify the ASIN format or limits beyond what the schema provides, so the baseline 3 is appropriate.

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 tool gets an Audible audiobook's customer reviews and enumerates the returned fields (author, title, body, ratings, votes, date). It is unambiguous about the verb and resource. However, it does not explicitly differentiate itself from sibling tools like audible_product or audible_product_related, though 'customer reviews' makes the purpose reasonably distinct.

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?

Usage is implied: call when you need customer reviews for an Audible audiobook. The description notes it is credential-free, which hints at when it is appropriate, but it does not provide explicit when-not-to-use guidance or alternatives. The context is clear enough for an agent to infer the primary use case, but no direct exclusions are 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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