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get_app_reviews

Read-onlyIdempotent

Retrieve Steam store reviews for a game, showing the overall rating, positive/total counts, and a sample of recent reviews with vote and playtime.

Instructions

Summarize store reviews for a game and show a sample of recent ones.

Returns the overall review label (e.g. "Very Positive"), positive/total counts, and a sample of recent reviews with their up/down vote and the reviewer's playtime. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appidYesThe Steam application id (appid), e.g. 440 for Team Fortress 2. Use search_store to find an appid from a game name.
limitNoNumber of recent reviews to show.
review_typeNoFilter: 'all', 'positive', or 'negative'.all

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Behavioral transparency is well-covered by the annotations (readOnlyHint, idempotentHint, destructiveHint). The description adds 'No API key required' and outlines the output (summary and sample). This supplements the annotations without contradicting them, though it does not go into side effects (which are already indicated as none by the read-only hint).

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 exceptionally concise, consisting of exactly two sentences. It avoids unnecessary details or fluff while conveying the core functionality. The structure is straightforward: first sentence states the purpose, second sentence details the return content. No wasted words.

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?

The tool has an output schema, so the description does not need to fully specify the return structure. However, it does mention key output elements (overall review label, positive/total counts, sample of recent reviews) which gives adequate context. Combined with the annotations and schema, the description is complete for an agent to invoke correctly.

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?

The input schema already provides thorough descriptions for all three parameters (appid, limit, review_type), with examples and guidance. The tool description itself does not add extra meaning beyond this, but it does mention the output format, which indirectly clarifies the role of limit and review_type. Overall, schema coverage is 100%, so the description's additional value is minimal.

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?

The description clearly states a specific action: 'Summarize store reviews for a game and show a sample of recent ones.' It names the resource (store reviews) and the verb (summarize/show). This distinguishes it from sibling tools like get_app_details or get_news_for_app, which focus on other aspects.

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 does not explicitly state when to use this tool versus siblings. It does mention 'No API key required', which is a usage note, but it lacks guidance on when to prefer this over get_app_details or get_news_for_app. The context is implicit from the tool's name and description, but not explicit.

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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