datasets_steam_reviews_search

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

Discloses the corpus composition and sort defaults, but lacks information on pagination behavior, rate limits, authentication, or read-only nature. Since no annotations are provided, the description partially carries the burden but is incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with no redundancy. Front-loaded with the core action and corpus description. Could be more compact, but overall efficient.

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

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

Lacks return format details since no output schema is provided. Does not mention result limits or pagination beyond what is in schema. Adequate but leaves gaps for an agent to understand the full response context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear descriptions for all 7 parameters. The description adds minor extra context (e.g., 'most-helpful' corpus, max 256 chars for q, page*page_size constraint). Baseline 3 is appropriate as the schema already does heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it searches the steam-reviews dataset, describes the corpus as the most-helpful reviews per game, and lists the full-text query and filters. Distinguishes from other steam datasets by specifying review-specific content, but does not explicitly differentiate from similar review tools like steam_reviews.

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

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

Provides no guidance on when to use this tool versus alternatives. Does not mention when not to use it or compare with sibling tools like steam_reviews or other datasets. The description only states what it does, not the context for selection.

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