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Test API key

loops_test_api_key
Read-only

Verify the configured Loops API key and return the team name — a good first call. Loops API: GET /v1/api-key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and description reinforces the read-only nature by stating it's a GET request and a verification call. Adds value by mentioning the return of the team name.

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?

Two sentences with no wasted words. The purpose, HTTP method, and suggested usage are all front-loaded. Every word 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?

Given the absence of parameters and output schema, the description provides sufficient context: it verifies the key and returns the team name. Could mention possible failure responses, but not essential for a simple health check.

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?

No parameters are present, so the description does not need to add parameter details. The baseline for zero-parameter tools is 4.

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?

Description clearly states the tool verifies the Loops API key and returns the team name, with a specific verb and resource. It distinguishes itself from sibling tools that perform CRUD operations or send events.

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?

Explicitly suggests it's a good first call, providing usage context for initial setup or health checking. Does not explicitly state when not to use, but the simplicity of the tool makes this less critical.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a distinct purpose and target resource (contacts, properties, lists, events, transactional emails, API key). No overlap or ambiguity in descriptions.

Naming Consistency5/5

All tools follow a consistent 'loops_verb_noun' pattern in snake_case. Verbs are descriptive and nouns match the resource.

Tool Count5/5

10 tools is well-scoped for the domain, covering contacts, properties, lists, events, transactional emails, and an API test. Neither sparse nor overloaded.

Completeness4/5

Covers core contact CRUD, property creation, listing, and sending capabilities. Minor gap: no update/delete for contact properties, but the surface handles primary workflows.