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pluton74mac

garmin-mcp-triathlon

by pluton74mac

request_reload

Ask Garmin to re-process epoch data for a date when a day's metrics look incomplete after a sync. Use the response to see if the job was accepted, then re-read the day to confirm new data.

Instructions

Ask Garmin to re-process the epoch data for a date.

Use when a day's metrics look incomplete after a sync. The response says whether the reload was accepted, not whether new data appeared — re-read the day afterwards to see that.

Args: date: Date in YYYY-MM-DD format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the response only reports acceptance, not whether new data appeared, and that the caller must re-read the day to confirm. It omits auth requirements, rate limits, and whether reloads are idempotent, so it stops short of a 5.

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?

Three tight sentences, front-loaded with the action, then the trigger, then the return caveat, followed by a one-line arg format note. Every sentence earns its place with no padding.

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?

An output schema exists so return values needn't be enumerated, yet the description still clarifies the meaning of the response. Combined with the when-to-use and post-call guidance, an agent has everything needed to invoke and interpret it correctly.

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

Parameters4/5

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

Schema description coverage is 0% and the schema only titles the field 'Date', so the description's 'Date in YYYY-MM-DD format' adds real value. One parameter is well covered; the low baseline expectation for a single-param tool is met.

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?

States a specific verb+resource: it asks Garmin to 're-process the epoch data for a date'. No sibling tool performs a reload/reprocess action, so the agent can immediately distinguish it from the many get_*/set_* siblings.

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?

Gives a clear triggering condition ('when a day's metrics look incomplete after a sync') and a follow-up action ('re-read the day afterwards'). It doesn't name explicit alternatives, but no sibling provides equivalent reprocessing, so there is little to disambiguate.

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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