Skip to main content
Glama

get_earned_badges

Read-only

Badges the account has earned, each with badgeImageUrls added. GETs /badge-service/badge/earned; each badge gains badgeImageUrls: { small, large }, added by this library (Garmin sends no image URL): https://connect.garmin.com/images/badges/xxhdpi/badge_<badgeUuid ?? badgeId>_sml.png (_lrg.png for large), the URL Garmin Connect's web app builds; public, no session. Every other field passes through unchanged; stays nullable (does NOT coalesce to []).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the readOnlyHint/openWorldHint annotations: it discloses the underlying endpoint, that the call is public with no session required, that the library injects a computed badgeImageUrls field (with the exact URL template), and that every other field passes through unchanged and stays nullable rather than coalescing to []. This is exactly the kind of behavioral 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?

Front-loaded with the resource and scope, then the behavior. Dense and mostly earns its words, though the full URL template is heavier than strictly necessary and slightly crowds the sentence flow.

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?

With no output schema, the description fully carries the return-value burden: it names the injected field, its shape, its provenance, and the nullability rule, and notes all other fields are untouched. Nothing an agent needs to interpret the result is missing.

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?

The tool takes zero parameters, so there is nothing to document and the baseline is 4. The description appropriately spends its words on return-shape semantics instead.

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 resource with a scoping qualifier: 'Badges the account has earned.' The word 'earned' cleanly separates it from siblings like get_available_badges and get_in_progress_badges, so an agent can place it without opening any schema.

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 by 'earned' versus the available/in-progress badge siblings, but the description never explicitly says when to use this over those alternatives or names any of them. Adequate but leaves the routing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.