Lap Telemetry

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

Annotations already declare readOnly, idempotent, non-destructive safety. The description adds real behavioral value beyond them: sample volume (~60-90) and sampling rate (~4Hz), plus the lap=0 discovery behavior. It stops short of auth/rate-limit context, which is minor for a read tool.

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, followed by return characteristics and a per-argument list. Every sentence and argument line earns its place with no 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?

With an output schema present, the return format needn't be restated, and the description handles params and behavior well. The only gap is unlisted valid session_type values, which is minor given the otherwise thorough documentation.

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 0%, so the description carries the full burden and largely meets it: driver format (TLA, required), year range (2018-2026), race partial-match semantics, lap=0 special value, and session_type. This meaningfully compensates for the empty schema, though session_type's valid values remain unspecified.

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?

States a specific verb and resource ('Get car telemetry') and enumerates the exact data channels returned (speed, RPM, throttle, brake, gear, DRS), scoped to a specific lap. It is clearly the raw-data getter versus the plot_* siblings, though it never names or contrasts them explicitly.

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?

Provides one useful usage tip ('Set lap=0 to see available laps') that guides discovery. However, it gives no guidance on when to prefer this over the plot/comparison telemetry siblings, and no prerequisites or exclusions.

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