Fastest Pit Stops

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds genuinely useful context beyond that: it defines stationary vs pit-lane time, notes the pit-lane time is shown alongside, and names the F1 PitStopSeries data source.

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?

Front-loaded with the core purpose, then the parenthetical definitions of stationary and pit-lane time earn their place as clarifying detail. Slightly text-heavy but no filler sentences.

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?

An output schema exists so return values need not be explained, and annotations cover safety; the description capably handles the metric definitions that are otherwise non-obvious. The only real gap is parameter documentation, which drags this below a 5.

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 0% and three parameters (year, gp, top_n) are completely undocumented in the description. Critically, top_n's ranking/limit role and the gp/year scoping are never explained, so the agent gets no semantic help for ambiguous inputs like top_n.

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?

Specific verb+resource ('get the fastest pit stops of the race') with the ranking criterion (stationary time) stated up front. It clearly distinguishes itself from siblings get_pit_stops and get_pit_stop_detail by clarifying what metric is ranked.

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?

Mentioning that the data 'matches get_pit_stops / get_pit_stop_detail' hints at a sibling relationship, but the description never states when to use this tool versus those alternatives. Usage is only implied by the name and ranking concept.

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