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

Annotations already cover safety (readOnlyHint, idempotentHint, openWorldHint=false, destructiveHint=false), so the bar is low. The description adds real behavioral context by disclosing what the result contains (launch counts, vote percentiles, top launches, medal counts, top tags), which is more than the annotations convey, though it says nothing about cost, rate limits, or pagination.

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?

Purpose and scope are front-loaded in the first clause, and the second sentence handles usage. The middle enumeration of output metrics is dense but each item earns its place by telling the agent what it will receive; only minor tightening is possible.

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?

There is no output schema, so the description must carry return-value disclosure — and it does, listing the aggregate metrics, top launches, medal counts, and tags. Combined with annotations covering safety and a 100%-documented schema, an agent has everything needed to call it correctly.

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%, with both the weeks window (default 12, range 1-52) and the category enum fully documented in the schema. The description's phrase 'window of ship weeks' merely restates that, adding no format or syntactic detail beyond the structured fields, so the baseline 3 applies.

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 states a specific verb and resource ('Benchmark a category') plus the scope ('over a window of ship weeks') and enumerates the aggregate outputs, making it clearly distinct from launch-level siblings like get_launch or search_launches.

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?

It gives a concrete decision context: 'Use this to judge how crowded a space is and what a winning launch looks like there.' That is clear when-to-use guidance, but it names no alternative tool or exclusion condition to route the agent against siblings like get_winners or search_launches.

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