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

Annotations already declare read-only, idempotent, closed-world behavior, so the bar is lower. The description still adds real value beyond them: it clarifies that weights are the site defaults (not caller-supplied), that the metric definition is returned alongside the data, and that four component scores accompany the ranking.

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?

Two compact sentences with no wasted wording; the core output (ranking plus four component scores) is front-loaded, and the caveat about the metric being site-defined follows logically.

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 one-parameter read tool with full annotations and no output schema, the description covers what is computed and what is returned. Minor gaps remain: no mention of ordering, ties, or handling of drivers with insufficient data in a season.

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% with a single documented 'season' parameter, so the baseline is 3. The description only echoes the concept of 'a season' and adds no format, range, or edge-case detail beyond the schema's 1950–2100 bounds.

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 resource (a season's driver ranking) under a named metric (Kerbside Power Score) and notes it returns four component scores. 'A site-defined metric' implicitly separates it from official standings like championship_standings, though that sibling is never named.

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?

Usage is only implied: the agent can infer 'use this to get power rankings for a season.' There is no explicit when-to-use versus championship_standings or what_if, and no stated prerequisites or exclusions.

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