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Tavaresiqueira

Garmin MCP Server

by Tavaresiqueira
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TypeScript
Remote

Server Quality Checklist

58%
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  • Latest release: v1.0.0

  • Disambiguation3/5

    The sleep_summary and wellbeing_snapshot tools overlap significantly, as wellbeing_snapshot includes sleep data and more. An agent may be unsure which to use for sleep metrics alone, though descriptions help differentiate scope.

    Naming Consistency4/5

    All tools follow a consistent 'garmin_<area>_<descriptor>' pattern using underscores. While not verb_noun, the naming is predictable and readable.

    Tool Count4/5

    Three tools is slightly low for a comprehensive health tracking server, but the set covers key recovery and readiness metrics without being trivial.

    Completeness3/5

    The tools focus on sleep, wellbeing, and workload recovery but lack common Garmin features like activity logs, steps, or heart rate trends, creating notable gaps.

  • Average 3.5/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 9 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

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  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    No annotations provided; the description only says 'fetch', implying a read operation, but does not disclose potential data unavailability (e.g., if no sleep data for the date), rate limits, or whether all listed metrics are always returned.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single direct sentence listing the fetched metrics, perfectly concise with no wasted words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a simple one-parameter tool without output schema, the description covers the core action but lacks completeness about return format, data availability, and behavioral guarantees.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100% with the date parameter fully described in the schema (format and default). The description does not add new meaning beyond the schema.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool fetches specific sleep metrics (score, duration, HRV, stress, Body Battery, resting HR), which distinguishes it from siblings like wellbeing snapshot or workload guard.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    No guidance on when to use this tool versus alternatives, no prerequisites or exclusions mentioned, leaving the agent to infer usage context.

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

  • Behavior2/5

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

    No annotations are present, so the description carries full burden. It indicates a read operation but does not disclose authentication needs, rate limits, or behavior on missing dates. Minimal behavioral context.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Single sentence is highly concise and front-loaded with the key purpose and included metrics. No wasted words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Adequate for a simple fetch tool with two parameters and no output schema. Lists what is included but lacks details on error handling or response structure.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, so the description adds little beyond schema. 'For a date' aligns with the date parameter. Baseline 3 is appropriate as schema does the heavy lifting.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    Description clearly states the verb 'Fetch', the resource 'wellbeing snapshot', and lists specific metrics (sleep, Body Battery, HRV, stress, training readiness, workload recommendation). It effectively distinguishes from sibling tools like garmin_sleep_summary and garmin_workload_guard.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    No guidance is provided on when to use this tool versus alternatives, or any prerequisites. The description only mentions 'for a date' without context on data availability or limitations.

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

  • Behavior3/5

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

    With no annotations, the description carries full burden. It states the tool checks recovery metrics and suggests a safer scope, implying read-only behavior, but does not disclose specific metrics, side effects, or authorization needs. More detail on the suggestion mechanism would improve transparency.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    A single, well-structured sentence that front-loads the main action and purpose. Every word contributes meaning; no redundancy.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    While the description covers purpose and usage, it lacks detail on what recovery metrics are used, how the safer scope is determined, and what the tool returns. With no output schema, the description should hint at the output format.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    All three parameters have schema descriptions, so schema coverage is 100%. The description adds little beyond the schema—'workload' as the work to take on, 'ticketCount' as number of tasks, 'date' as YYYY-MM-DD. Baseline 3 is appropriate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool checks Garmin recovery metrics before committing to a workload and suggests a safer daily scope when signals are weak. This distinguishes it from siblings like garmin_sleep_summary and garmin_wellbeing_snapshot by focusing on workload readiness.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description explicitly says 'before committing to a workload,' indicating when to use. However, it does not provide explicit when-not-to-use or alternative tools, though the context of siblings implies differentiation.

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

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  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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