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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds valuable context beyond annotations: the data source (Jolpica F1, Ergast-compatible), that it's free/unlimited/no-auth, and the default behavior. No contradictions with annotations.

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 yet informative, front-loading the primary purpose and data fields, then covering defaults and historical access, and finally the data source and licensing. No wasted words, and the structure is logical.

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?

Given that an output schema exists, the description doesn't need to explain return values. It covers the key aspects: what results are returned, default behavior, historical coverage, and data source/licensing. With annotations covering safety and idempotency, nothing essential is missing for an agent to correctly invoke the tool.

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%, so each parameter is documented in the schema. The description adds meaning beyond the schema by explaining the special value 'round=last' (default) and that specifying season+round can retrieve any race since 1950. This goes beyond the schema's basic parameter descriptions and clarifies defaults and special cases.

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's purpose: 'Get the finishing results for a specific Formula 1 race' and enumerates the specific data fields returned (final positions, driver, constructor, grid, laps, status, points, finish time, fastest lap). This is a specific verb+resource, and it differentiates from sibling tools like f1.races.schedule and f1.standings.* by focusing on results.

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 provides clear usage context: it defaults to the most recent completed race of the current season, and explains how to specify season and round to fetch any race back to 1950. While it doesn't explicitly name alternative tools, the purpose is clear enough that an agent would know to use this for results, and the default behavior is well explained.

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