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ClaudeCyclingMCP

by elias-ramzi

verify_garmin_upload

Verify that Garmin stored the exact workout you uploaded by comparing the sent payload against the fetched response, and get a list of any differences.

Instructions

Check that Garmin stored the workout that was actually sent.

Pass the payload given to upload_workout, and the response from get_workout_by_id for the workout it created. Returns the list of differences; an empty list means Garmin kept what was sent.

This compares against the sent payload, not against an assumed read shape — the difference matters, because get_workout_by_id returns a lossy projection that will happily agree with a wrong-units payload. It also catches a repeat count silently corrupted by a missing conditionTypeId.

Two things it cannot prove: whether a power target was stored as watts or as %FTP (the curated read drops the targetValueUnit field that distinguishes them), and whether the workout displays correctly on a head unit. Confirm those by opening the workout in Garmin Connect once.

Pure comparison, no network access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fetchedYes
payloadYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description carries full responsibility for behavioral disclosure, and it excels: it reveals that the comparison is against the sent payload ('not against an assumed read shape'), that it catches specific silent corruptions, what limitations exist (power target units, head-unit display), and that it makes no network access. This gives the agent a thorough understanding of the tool's exact behavior and edge cases.

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 information-dense but every sentence earns its place. It is logically structured: purpose, how to invoke, key nuance, limitations, and final safety note. It is not bloated; the length is justified by the subtle failure modes it must convey. The main action is front-loaded.

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

Completeness5/5

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

Given the tool's complexity, the lack of annotations, and the bare schema, this description is complete. It covers what the tool does, how to use it, what it cannot verify, and what to do instead. The output schema exists but the description already provides the essential return semantics. No major gaps remain.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must fully explain the parameters, and it does: 'payload' is defined as the payload given to upload_workout, and 'fetched' as the response from get_workout_by_id. It also clarifies the return value (list of differences, empty means success). This completely compensates for the bare 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 opens with a specific verb and resource: 'Check that Garmin stored the workout that was actually sent.' It clearly distinguishes this verification tool from the sibling rendering/validation tools, and the comparison logic is explicitly described. It leaves no ambiguity about what the tool accomplishes.

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

Usage Guidelines5/5

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

The description gives explicit operational instructions: 'Pass the payload given to upload_workout, and the response from get_workout_by_id for the workout it created.' It also states when not to rely solely on the tool by listing the two things it cannot prove and recommending manual confirmation in Garmin Connect. This is exemplary when-to-use guidance.

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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