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

Annotations already establish readOnly, idempotent, non-destructive behavior, so the description doesn't need to restate those. It adds useful context: the standings are 'as of the latest completed round,' the API is free and unlimited, no auth is required, and historical data begins in 1958. This goes beyond the annotations without contradicting them.

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?

Four sentences, each with a distinct role: purpose, return fields, seasonal behavior, and data source/auth. No filler or redundancy. The most decision-relevant information (what it returns and how to get live standings) is front-loaded.

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?

A simple read-only tool with an output schema, three optional parameters, and full schema documentation. The description covers the default season behavior, availability range, and data source, which are the only non-obvious aspects an agent needs. No missing information would prevent correct invocation.

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%, so the base is 3. The description adds meaningful parameter semantics by specifying that omitting season yields current live standings, clarifying the default behavior that the schema only implies. Limit and offset are already fully documented in the schema; the description's addition about season omission elevates it above baseline.

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 starts with a clear verb and resource: 'Get Formula 1 World Constructors Championship standings.' It specifies the returned fields (team, nationality, wins, points) and the data source, which separates it from sibling tools like f1.standings.drivers and f1.races.schedule. An agent can tell exactly which tool to pick without opening schemas.

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 description clearly explains when to omit season for live standings and notes historical availability back to 1958, which helps an agent choose the right season input. It does not explicitly say when to use this tool instead of f1.standings.drivers, though the word 'Constructors' in the name and description makes the distinction obvious. Overall it provides clear context but stops short of explicit alternative routing.

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