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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description carries a lower burden. It adds a little context about the returned sections and meta.source, but does not disclose any additional behavioral traits such as data freshness, error handling, or how standings are computed mid-season.

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 compact, organized with Args/Returns/Meta sections, and every sentence carries useful information. There is no filler or redundant content.

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 simple one-parameter, read-only tool with strong annotations and an output schema, this description is complete. It covers what the tool returns, the required argument, and the source metadata, which is sufficient for an agent to invoke it correctly.

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?

Input schema coverage is 100% and the sole parameter 'year' is already fully described in the schema. The description only repeats the same example and does not add new semantic meaning such as allowed ranges or formatting requirements.

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 states a specific verb ('Return'), a precise resource ('F1 driver and constructor championship standings'), and a scope ('for a year'). It clearly distinguishes this from sibling tools like f1_get_drivers, f1_get_race_results, and football_get_standings.

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 use case is implied: use this tool when F1 championship standings for a given year are needed. However, it does not explicitly say when to prefer this over alternatives or mention exclusions (e.g., race results, individual driver data).

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