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Crawlora MCP

googleplay_reviews

Read-only

Returns normalized Google Play reviews for an app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
NumNoMaximum number of reviews to return, default 100.
LangNoTwo-letter language code, ISO-639, default en.
SortNoReview sort order, default newest. Allowed values: helpfulness, newest, rating.
AppIDYesGoogle Play package name (app ID), e.g. com.openai.chatgpt.
CountryNoTwo-letter storefront country code, ISO-2, default us.
PaginateNoWhen true, return only a single page; when false, auto-follow pages until num is reached. Default false.
NextPaginationTokenNoPagination token from a previous response to fetch the next page of reviews.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already establish readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description's only added signal is 'normalized', which hints at standardized output but says nothing about pagination behavior despite the Paginate and NextPaginationToken parameters, nor about result limits.

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 front-loaded sentence with no filler, which is efficient. However, the terseness comes at the cost of omitting pagination and sorting guidance rather than being optimally packed.

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?

For a 7-parameter tool with pagination controls and no output-schema explanation needed, the description covers almost nothing beyond the headline purpose. An agent gets no help on how Num, Paginate, and NextPaginationToken interact, which is the main behavioral complexity here.

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 all seven parameters (Num, Lang, Sort, AppID, Country, Paginate, NextPaginationToken) are already documented with defaults and allowed values. The description adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 gives a specific verb and resource ('Returns ... reviews') scoped to 'an app', which clearly distinguishes it from data-oriented siblings like googleplay_app or googleplay_ratings. It stops short of naming those siblings or explaining how it differs from appstore_reviews, so it is clear but not fully differentiated.

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?

There is no indication of when to use this tool versus alternatives (e.g. googleplay_ratings for aggregate scores vs review text), nor any prerequisites about needing an AppID first. Usage is only implied by the tool name.

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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