Garmin Connect MCP

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool calculates VDOT and training zones, implying a read-only computation, but does not mention any behavioral traits like error handling, performance characteristics, or output format. For a tool with no annotations, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary details. It is front-loaded with the core functionality, making it easy to understand quickly. There is no wasted verbiage, earning a high score for conciseness.

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?

Given the complexity of calculating VDOT and training zones, the description is incomplete. No annotations are provided, and there is no output schema, so the agent lacks information on the return values or any behavioral context. The description does not compensate for these gaps, making it inadequate for a tool that likely produces structured output.

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?

The input schema has 100% description coverage, with clear documentation for both parameters ('race_distance' and 'race_time'). The description does not add any additional meaning beyond what the schema provides, such as explaining the significance of VDOT or training zones. Given the high schema coverage, a baseline score of 3 is appropriate.

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 clearly states the tool's purpose: 'Calculate VDOT and training zones based on recent race performance or time trial'. It specifies the verb 'calculate' and the resources 'VDOT and training zones', with the input context 'recent race performance or time trial'. However, it does not explicitly differentiate from sibling tools like 'calculate_training_paces' or 'analyze_threshold_zones', which may have overlapping functionality, so it misses the highest score.

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 provides no guidance on when to use this tool versus alternatives. It mentions the input context ('recent race performance or time trial'), but does not specify prerequisites, exclusions, or compare to sibling tools such as 'calculate_training_paces' or 'get_race_predictions'. This leaves the agent without clear usage instructions.

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