get_gear_list

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that results are cached for the MCP process lifetime, that refresh=True bypasses the cache, and that credentials fall back to environment variables. It also describes the return format. It does not discuss rate limits, errors, or pagination, but for a simple read-only catalog fetch the provided transparency is solid.

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 front-loaded with the core purpose and return shape, then gives a compact, well-organized Args section. Every sentence adds actionable information: what is fetched, what the output looks like, how caching works, and how parameters behave. No filler or redundant restatement of the tool name is present.

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 list tool with a provided output schema, the description is complete. It explains the data source, return granularity, caching semantics, authentication fallbacks, and refresh override. An agent has enough information to invoke the tool correctly without additional 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 description coverage is 0%, so the description must explain the parameters, and it does so thoroughly. athlete_id, api_key, and refresh each receive a plain-language explanation including optionality, environment-variable fallback, and default behavior. This fully compensates for the schema's lack of descriptive text.

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 and resource: 'Get the gear catalog (bikes, shoes, etc.) for an athlete from Intervals.icu.' It also clarifies the output shape ('one line per gear item with id, type, name, and basic stats'), making the tool's purpose unmistakable. No sibling tool focuses on gear catalog, so it is effectively distinguished from the provided alternatives.

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 gives clear context: this is the gear-list retrieval endpoint for an athlete, with caching behavior and optional authentication via environment variables. It does not explicitly exclude alternatives or provide when-to-use versus when-not-to-use guidance, but the purpose is specific enough that an agent can infer when to call it. There are no misleading usage signals.

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