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matisdsp

io.github.matisdsp/fartlek

by matisdsp

garmin_fitness

Read-only

Analyze Garmin training metrics to evaluate fitness trends, race projections, and taper guidance, helping you determine goal feasibility and plan race day timing.

Instructions

Is training working: VO2max and efficiency trends, HR at a fixed pace, long-run durability, a race projection against the stored goal, and form projected to race day with taper guidance. Call for 'am I getting fitter', race planning, taper timing, goal feasibility. Set the goal with garmin_set_profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weeksNowindow length, default 12
anchor_dateNoYYYY-MM-DD, default today

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already mark readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds analytical scope and dependency on a stored goal ('against the stored goal', 'projected to race day') but offers no behavioral details such as data source freshness or error conditions.

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

Conciseness4/5

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

Text is two sentences plus an introductory clause; front-loaded with 'Is training working', then lists outputs and use cases. Some redundancy exists: race projection/race planning and taper guidance/taper timing are repeated in the second sentence.

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

Completeness4/5

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

With read-only annotation, an output schema, and a 2-parameter schema that fully documents inputs, the description provides enough context for a typical agent. It covers primary use cases and related tool, though it omits edge-case behavior when no goal is stored.

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?

Input schema covers both parameters (weeks, anchor_date) with descriptions and defaults, so description need not repeat them. Description does not mention these parameters at all, but schema coverage is 100%, so baseline 3 applies.

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 opens with 'Is training working:' and enumerates specific outputs (VO2max, efficiency trends, HR at fixed pace, long-run durability, race projection, form/taper). It distinguishes from siblings by naming a related tool for setting goals and specifying call intents like 'am I getting fitter'.

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?

'Call for 'am I getting fitter', race planning, taper timing, goal feasibility' provides explicit when-to-use guidance, and points to garmin_set_profile for goal configuration. However, it does not explicitly list exclusions or alternative analytical tools.

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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