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request_reload

Asks Garmin to reload a day's wellness data that it has offloaded. POSTs /wellness-service/wellness/epoch/request/{cdate} with no JSON body; asks Garmin to reload/recompute a day's data (Garmin offloads older data, so this forces it back).

Input Schema

NameRequiredDescriptionDefault
cdateYesCalendar date, YYYY-MM-DD (UTC)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true. The description goes beyond them by disclosing the mechanism (POST with no JSON body) and the reason Garmin needs it (older data is offloaded, this forces it back), which is real context an agent could not infer. It stops short of saying whether the reload is async or what the response indicates.

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

Conciseness3/5

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

The core action is front-loaded, but the description restates itself: 'reload a day's wellness data that it has offloaded' is repeated as 'reload/recompute a day's data (Garmin offloads older data, so this forces it back).' The redundancy costs space without adding new information.

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?

For a single-parameter, no-output-schema tool this covers what the agent needs: the action, the endpoint, the body format, and the rationale. Missing only the outcome semantics (does it block, does it return confirmation, how long before data is available), which keeps it from being fully complete.

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 100%, so the baseline is 3, but the description adds value the schema does not: the path template `/wellness-service/wellness/epoch/request/{cdate}` shows the date is a path segment rather than a query or body field. It does not add format constraints beyond the schema's YYYY-MM-DD (UTC).

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 gives a specific verb (reload/recompute) and resource (a day's offloaded wellness data), and even names the exact endpoint. No sibling tool does anything similar, so an agent can identify this unambiguously from the list.

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

Usage Guidelines3/5

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

Usage is only implied: 'reload a day's wellness data that it has offloaded' suggests calling it when data appears missing or stale. There is no explicit when-to-use statement, no when-not-to-use, and no named alternative or prerequisite (e.g., call after a sync gap).

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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