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analyze_reviews

Analyze Steam game reviews to extract sentiment, common themes, and key insights. Drill down into specific topics or time periods for targeted understanding.

Instructions

Fetch and analyze Steam game reviews to extract sentiment, common themes, and key insights. Supports optional topic drill-down, time-bounded analysis, and pre-fetched reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesSteam AppID of the game to analyze
sampleSizeNoNumber of reviews to analyze (default: 100, max: 200)
languageNoFilter reviews by language (e.g., "english", "schinese")
reviewTypeNoFilter by review sentiment (default: all)
topicNoOptional: Drill down into specific theme (e.g., "performance", "multiplayer")
dayRangeNoOnly analyze reviews from last N days (e.g., 30, 90, 365)
filterOfftopicActivityNoFilter out review bombing (default: false to show all reviews including controversies)
steamDeckOnlyNoOnly analyze Steam Deck reviews (experimental)
preFetchedReviewsNoOptional: Pre-fetched reviews to analyze instead of fetching new ones. Useful to avoid duplicate API calls. If provided, sampleSize, language, reviewType, dayRange, and filtering parameters are ignored.
Behavior2/5

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

No annotations provided, so description is the sole source. It mentions pre-fetched reviews avoid duplicate API calls, but does not disclose other behavioral traits like read-only nature, rate limits, or side effects.

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 clear sentences, front-loaded with main purpose. No redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 9 parameters and no output schema, the description covers high-level features but does not explain output format or 'key insights'. Adequate but not fully comprehensive.

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 coverage is 100%, so baseline is 3. The description summarizes parameter categories (topic drill-down, time-bounded, pre-fetched) but adds no new meaning beyond the schema descriptions.

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 the tool fetches and analyzes Steam game reviews, extracting sentiment, themes, and insights. It distinguishes from siblings like fetch_reviews by combining both actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions optional features (topic drill-down, time-bounded analysis, pre-fetched reviews) but does not explicitly state when to use vs. alternatives. Context from siblings implies separation of concerns.

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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