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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly warns that exposure is lifetime estimated exposure, not 30-day incremental, and that download_count is cumulative, not incremental. These clarifications prevent misinterpretation of numeric fields. It does not mention auth or rate limits, but for a get-style tool, safety is implied. Overall, it provides valuable semantic transparency beyond the basic purpose.

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?

The description is concise and well-structured: one sentence stating the returned data, followed by two specific metric clarifications. It avoids fluff and front-loads the main purpose. Each sentence earns its place, and the clarifications are essential for correct interpretation. It is not overly verbose.

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?

No output schema exists, so the description must convey what to expect. It lists the data categories but does not specify the structure or key names. It also does not mention error handling or edge cases. However, for a single-resource detail endpoint, the description covers the core information sufficiently. Given the tool's moderate complexity and that the clarifications address likely misinterpretations, this is adequate but with gaps.

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 description coverage is 100%, so the only parameter game_id is fully documented in the schema, including instructions to pass the token unchanged. The description does not add additional parameter context beyond what the schema says. Baseline of 3 is appropriate since the schema handles the heavy lifting and no further clarification is needed.

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?

The description clearly states the tool returns specific data: game identity, delivery platforms, countries, active ad/creative counts, and download snapshots. It also clarifies metric semantics, distinguishing it from other get_game_* tools that may return different aggregates or trends. The resource and scope are unambiguous.

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?

The description does not provide explicit guidance on when to use this tool versus the many sibling tools like get_game_summary, get_game_delivery_summary, or get_game_overview. It describes what data is returned but does not state conditions or alternatives. Users must infer from the data listed, which is inadequate given the large sibling set.

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