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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds meaningful behavior beyond that: the response links to a citable game page, and the qualitative tags are only returned "once enough players said so" — a data-availability threshold an agent otherwise could not anticipate. It doesn't describe response size or shape in detail, but that is acceptable at this level.

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?

Information-dense and front-loaded: it leads with what the response contains, then the trigger questions, then the input instruction and citation note. The middle clause is long and slightly run-on, but every sentence carries content and nothing is redundant filler.

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?

With no output schema, the description carries the full burden of describing returns, and it does so thoroughly: liked-share, tier/rank, distribution, related games, and tag counts. It also covers how to obtain the input and how to cite the result, leaving no gap an agent needs filled before calling it.

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% for the single appid parameter, and the schema description already says to resolve names with search_games, so the description's identical instruction adds no new semantics. Baseline 3 is appropriate when the schema does the 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?

States a specific verb+resource combination: it returns the community consensus for a single game (liked-share, tier/rank, opinion distribution, co-liked/co-disliked games, qualitative tags). It is clearly differentiated from the sibling search_games, which is named as the name-resolution step, and from versus, which the framing implies is a comparison rather than a single-game lookup.

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?

Gives concrete trigger questions ("how popular / well-liked is X?", "games similar to X") and an explicit prerequisite workflow (pass a Steam appid, resolve names with search_games first). It does not state a when-not-to-use condition relative to versus, so the guidance is clear but not fully exhaustive.

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