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 'suggests' a workout, implying a read-only or advisory operation, but doesn't clarify if this requires specific permissions, how suggestions are generated (e.g., based on historical data), or what the output format might be (e.g., structured plan vs. text). For a tool with zero annotation coverage, 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 front-loads the core purpose ('Suggest appropriate workout'). There's no wasted text, and it's appropriately sized for a simple tool. However, it could be slightly more structured by explicitly separating inputs or outcomes, keeping it from a perfect score.

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 (a suggestion tool with no output schema and no annotations), the description is incomplete. It doesn't explain what the output looks like (e.g., workout details, duration, intensity), how suggestions are tailored, or any behavioral constraints. With siblings offering detailed analytics, this tool's description lacks the depth needed for an agent to use it effectively without guesswork.

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 1 parameter with 100% description coverage, detailing 'training_phase' with a default and allowed values. The description adds minimal value beyond the schema by mentioning 'current condition and training phase', but 'current condition' isn't reflected in the parameters, creating a slight mismatch. With high schema coverage, the baseline is 3, as the description doesn't significantly enhance parameter understanding.

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: 'Suggest appropriate workout based on current condition and training phase.' It specifies the verb ('suggest') and resource ('workout'), and distinguishes it from siblings that are primarily analytical (e.g., 'analyze_heart_rate_zones') or data-fetching (e.g., 'get_activities_for_date'). However, it doesn't explicitly differentiate from tools like 'calculate_training_paces' or 'list_training_plans', which might also relate to workout planning, keeping it from a perfect 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 doesn't mention prerequisites (e.g., needing prior data from other tools), exclusions, or comparisons to siblings like 'list_training_plans' or 'calculate_training_paces'. The context is implied ('based on current condition and training phase') but lacks explicit usage instructions, leaving the agent to infer when this is appropriate.

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