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garminconnect-js

garminconnect-js

by DynamicsNinja
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

get_device_alarms

Read-only

Fetches every alarm configured on all registered Garmin devices, combining each device's alarm settings into one list for review.

Instructions

Every alarm configured on every registered device. No HTTP path of its own: calls getDevices() once, then getDeviceSettings(device.deviceId) once per device (N+1 fan-out, sequential by design; do not parallelize), concatenating each device's alarms; a device with no alarms contributes nothing, never throws for that case.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_device_alarms"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond the readOnly/openWorld annotations: discloses the N+1 fan-out pattern, that it is sequential by design and must not be parallelized, and that a device with no alarms contributes nothing and never throws. This is exactly the kind of performance and error-handling context annotations cannot carry.

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?

Single front-loaded sentence that leads with the outcome, then layers in the mechanism. Dense with semicolons but every clause (fan-out, sequential, empty-device handling) earns its place.

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?

No output schema exists, so the description carries the return-value burden; it explains the result is each device's `alarms` concatenated, though it does not describe the shape of an individual alarm object. For a zero-param aggregate tool the behavioral coverage is otherwise strong.

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?

Zero parameters, so there is nothing to document and the baseline is 4. The description correctly implies the tool takes no input and operates over all registered devices.

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

Purpose4/5

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

States a specific resource and scope: 'Every alarm configured on every registered device.' An agent can tell this is an aggregate/roll-up tool distinct from get_devices (devices) and get_device_settings (one device's settings), even though it doesn't name those siblings as alternatives.

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 implied rather than stated. It explains it has no HTTP path of its own and aggregates across devices, from which an agent can infer 'use this when you want all alarms across devices,' but there is no explicit when-to-use vs get_devices/get_device_settings routing.

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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