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 performs analysis, implying a read-only operation, but doesn't specify if it requires user data, how results are returned, or any limitations (e.g., data freshness, rate limits). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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: 'Analyze lactate threshold zones for double threshold training'. It is front-loaded with the core action and resource, with no wasted words. Every part of the sentence contributes to understanding the tool's purpose, making it highly concise and well-structured.

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 tool's complexity (implied analysis of physiological data) and lack of annotations and output schema, the description is incomplete. It doesn't explain what the analysis entails, how results are formatted, or any dependencies. With no structured data to supplement it, the description fails to provide enough context for effective use.

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 tool has 0 parameters, with 100% schema description coverage (since there are no parameters to describe). The description doesn't need to add parameter semantics, as there are none. A baseline score of 4 is appropriate because the schema fully covers the absence of parameters, and the description doesn't need to compensate.

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: 'Analyze lactate threshold zones for double threshold training'. It specifies the verb ('analyze') and resource ('lactate threshold zones'), with context about the training type ('double threshold training'). However, it doesn't explicitly differentiate from siblings like 'analyze_heart_rate_zones' or 'get_lactate_threshold', which reduces clarity about its unique role.

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. With siblings like 'analyze_heart_rate_zones' and 'get_lactate_threshold', there's no indication of when this analysis is preferred, what prerequisites exist, or any exclusions. Usage is implied only by the name and description, lacking explicit context.

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