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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds context by calling the classification 'published', implying stable, non-live data, and highlights that it does not require keys. These are useful behavioral additions beyond annotations, though it doesn't describe error handling or edge cases like missing data.

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 a single, front-loaded sentence with zero redundancy. It conveys the action, scope, and key differentiator efficiently, placing the core action first. No unnecessary words or 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?

Given the tool has a rich input schema (with property descriptions and oneOf), an output schema (has_output_schema=true), and strong annotations, the description doesn't need to repeat those details. It adds the essential differentiator (no keys needed) and the 'published' aspect. It could arguably mention that one of the selector fields is required, but the schema's oneOf already handles that. Overall, it is sufficient for an agent 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 each parameter documented (year, round, raceName, slug, meetingKey, classification) and the oneOf constraint explicit. The description adds only the phrase 'friendly race selector', which is a high-level summary of the alternative selectors but doesn't introduce new details. Per the baseline rule, a 3 is appropriate when the schema carries the load.

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 ('Get'), a precise resource ('published F1DB race, qualifying, or sprint classification'), and the selection criteria ('by season and a friendly race selector'). It also distinguishes itself from alternatives by noting it works 'without requiring meeting or session keys', which differentiates it from sibling tools like get_f1_session_results that likely need those keys. The purpose is unambiguous and scoped.

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 implies a clear usage context: use this tool when you want a classification and lack meeting/session keys, offering a friendlier selector. However, it does not explicitly name alternatives or state when NOT to use it (e.g., when you need live session data or have keys and prefer direct lookup). The hint is strong but not fully explicit.

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