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Google Play reviews of an Android app

google-play-reviews
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Google Play app reviews API for AI agents: send an Android package name or a Google Play app URL and get up to 200 reviews as JSON: rating, text, date, app version, language and helpful votes. Sort by newest, relevance or rating and filter by stars. Reviewer names and photos are not returned. An app with no reviews is not charged.

Input Schema

NameRequiredDescriptionDefault
appYesan Android package name (e.g. com.spotify.music) or a Google Play app URL (https://play.google.com/store/apps/details?id=com.spotify.music)
sortNoorder of the reviewsnewest
limitNonumber of reviews wanted, 1 to 200 (default 20). A larger value is lowered to 200 and 0 or a negative one means the default; the quote follows the value used.
ratingNokeep only reviews with this many stars (1 to 5); omit for all

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, openWorld, non-idempotent), so the bar is lower; the description still adds real context beyond them: reviewer names and photos are not returned, and an app with no reviews is not charged. It does not explain why the call is non-idempotent, but the coverage-plus-additions is solid.

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?

A single dense paragraph that is front-loaded with the input formats and the returned payload. Every clause carries information, though the enumeration of returned fields makes it slightly long.

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?

With no output schema, the description does useful work by enumerating the returned fields (rating, text, date, app version, language, helpful votes) and the 200-review ceiling. Input formats, sorting, filtering and the privacy exclusion are all covered; only rate limiting and pagination behavior are unmentioned.

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 app, sort, limit and rating in detail. The description restates the sort options and star filtering but adds no format or edge-case detail beyond the schema, which is the correct baseline when structured fields do the heavy lifting.

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 and resource ('get up to 200 reviews as JSON') for a well-defined source: Google Play. It is immediately distinguishable from siblings like google-maps-reviews or youtube-comments by naming the Android package/Play Store URL input.

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 tells the agent what input to send and what options exist (sort by newest/relevance/rating, filter by stars), which implies usage, but it never states when to prefer this tool over a sibling such as google-maps-reviews or when it is inappropriate. No explicit alternatives or exclusions are given.

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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