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

Annotations already cover safety (readOnlyHint=true, destructiveHint=false, openWorldHint=false), yet the description still adds real behavior: results are ordered by date and include ticket links and a race page URL. It doesn't mention result volume or pagination, but that's a minor gap for a bounded per-season list.

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?

One front-loaded sentence delivering scope and payload fields, followed by two short usage examples. No filler or redundancy.

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?

There's no output schema, so the description carries the return-value burden and discharges it by listing exactly which fields come back, in what order, plus how to obtain the input slug. Nothing an agent needs to invoke it correctly 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 slug parameter is documented with an example format and its source tool, so the schema does the heavy lifting. The description adds nothing about the parameter beyond that, which is the baseline-3 case.

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 names the exact resource (every race of one series' season) and even enumerates the returned fields, so an agent can distinguish it from get_track, list_events and list_season_schedules without opening a schema.

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?

Concrete example questions ('when is Supercross in Detroit in 2027', 'the 2027 Pro Motocross schedule') make the intended use case obvious, and the schema points back to list_season_schedules as the slug source. It stops short of stating when-not-to-use or naming list_events as the alternative.

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