nascar_race_list

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 covered. The description adds valuable behavioral context by flagging the payload as LARGE (~430 KB), which helps agents prepare for a big response. It also includes the return structure and authentication requirements, going beyond 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 with a clear first sentence, a size warning, an explicit return-format block, an example call, and an auth note. Every section serves a purpose and nothing is redundant. It is longer than a one-liner but earns its length by providing concrete output structure.

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?

For a single-parameter tool with no output schema, the description is remarkably complete. It specifies the exact return shape with all field names, clarifies the series mapping (1=Cup, 2=Xfinity, 3=Truck), gives an example, and notes the large response size. No important usage context is missing.

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% and the single parameter, 'season', is documented in the schema as required. The description adds only an example ({'season': 2024}) and mentions in the schema that it's part of the URL path, but it does not add material semantic detail beyond the schema. 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 that the tool returns 'Every race in a season across all three series' with a specific list of included data fields (winner, track, distance, cautions, lead changes). This is a specific verb+resource combination that distinguishes it from sibling tools like nascar_weekend_feed by scope (season-wide vs. weekend-specific).

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 makes it clear when to use this tool: when you need all races in a season across the three NASCAR series. It does not explicitly name alternatives or exclusions, but the scope is unambiguous. No when-not-to-use guidance is provided, so it stops short of a 5.

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