jolpicaf1_sprint

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and idempotentHint=true, so the tool is known to be a safe, idempotent read. The description adds valuable context beyond annotations: the response shape, the specific empty-array behavior for non-sprint weekends, and the fact that no authentication is needed. This goes beyond what annotations alone convey.

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 compact and information-dense, including the return shape, an edge-case warning, an example, and auth status in a few sentences. It is well-structured and each sentence earns its place, though the inline JSON return shape makes it slightly dense for quick skimming.

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?

With no output schema, the description carries the burden of explaining return values, and it does so explicitly with the MRData structure and field list. It also covers the empty-Races case, which is critical for correct interpretation. It doesn't detail nested Driver/Constructor fields, but the top-level shape is sufficient for an agent to understand the result. Given the tool's moderate complexity, this is complete enough.

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 each parameter (season, round, format) is already documented in the input schema. The description's only addition is a concrete example with sample values, which reinforces usage but doesn't add deeper semantic meaning beyond what the schema already provides. 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 clearly states this tool returns 'Sprint race results' for F1 weekends that have a sprint, with a specific scope ('2021 onward'). The verb+resource combination ('Sprint race results') is precise and distinguishes it from sibling tools like jolpicaf1_results or jolpicaf1_qualifying by focusing exclusively on sprint races.

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 context on when to use the tool: for sprint results on weekends that have one. It also explicitly explains the edge case where Races is EMPTY for no-sprint weekends, which guides an agent on interpreting results. However, it does not explicitly mention alternatives or state 'use this instead of jolpicaf1_results', so it lacks explicit exclusions.

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