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review_fetch

Read-onlyIdempotent

Fetch recent app or game reviews and return rating stats, version trends, top complaint terms, and helpful review texts to explain user dissatisfaction.

Instructions

Fetch recent reviews for one app/game and return stats (rating mix, rating per version, top complaint terms) plus the most helpful review texts. Best for 'why do users hate X?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
onlyNoWhich review texts to return. 'negative' = 1-2★ / thumbs down.negative
storeNo'appstore' or 'steam'. Ignored if app_id has a 'store:' prefix.appstore
app_idYesNumeric ID from a search/top tool, e.g. '570060911' or 'appstore:570060911'.
countryNo2-letter store country, e.g. 'us', 'tr', 'de'.us
languageNoSteam only: 'english', 'turkish', 'all', ...english
max_reviewsNoHow many recent reviews to analyze. App Store caps near 500.
sample_sizeNoHow many review texts to include in the output.
response_formatNo'markdown' (default) or 'json'.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the useful detail that output includes aggregate stats plus helpful review texts, but discloses no rate limits, auth needs, or pagination behavior beyond what the schema conveys.

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?

Two tightly packed sentences that front-load the verb and resource, then the return content and use case. No filler or repetition.

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?

An output schema exists, so return values need not be spelled out, yet the description still summarizes them helpfully. Combined with full schema coverage and safety annotations, the definition is nearly complete; only explicit sibling routing guidance is missing.

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% and every parameter is self-documented, so the schema carries the load. The description only echoes the return content (stats + review texts) without adding syntax, defaults, or interaction detail beyond the schema.

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+resource ('Fetch recent reviews'), scopes it to 'one app/game', and enumerates what it returns (rating mix, rating per version, complaint terms, review texts). The 'one app' scope implicitly contrasts with review_compare_apps and review_search_apps, so the agent can route without opening schemas.

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?

Provides a named scenario ('why do users hate X?'), which implies when the tool is appropriate. However, it never names the alternatives (search/top/compare) or states when-not to use it, leaving sibling selection to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.