jolpicaf1_qualifying

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is established. The description adds value beyond annotations by detailing the exact return structure (MRData:RaceTable:...) and the behavior that Q2/Q3 are absent for drivers eliminated earlier. This is useful behavioral context not covered by the 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 well-structured and front-loaded with purpose. The first sentence states what the tool does, followed by the return shape, an example, and an auth note. Each line adds value. It is slightly longer than necessary due to the inline return schema, but this is informative rather than redundant.

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 moderate complexity, the description covers the key aspects: purpose, return format, example, auth requirement, and special case for Q2/Q3 omission. The schema covers parameter details, and annotations cover safety. The only missing piece is explicit differentiation from sibling tools, but the purpose line largely handles that. Overall it is sufficiently complete for an agent to invoke successfully.

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?

The input schema provides 100% coverage with all four parameters (season, round, limit, format) having descriptions. The description's example shows the expected usage of season, round, and format, which reinforces the schema but does not add new semantic information. Since the schema already does the heavy lifting, a baseline 3 is appropriate.

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 opens with a specific statement: 'Qualifying results with Q1/Q2/Q3 times per driver.' This clearly identifies the resource (qualifying results) and the content per driver (Q1/Q2/Q3 times). It distinguishes itself from sibling tools like jolpicaf1_results (race results) and jolpicaf1_sprint (sprint results) by focusing narrowly on qualifying.

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 a concrete example ('2024 round 1 qualifying') and notes that 'Auth: none needed,' which gives practical usage context. However, it does not explicitly state when to use this tool versus alternatives like jolpicaf1_results or jolpicaf1_sprint. The usage guidance is implied by the name and description rather than spelled out.

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