Skip to main content
Glama

luma_health

Verifies the Luma API key is valid. Returns the authenticated user's profile and shows the number of active drafts.

Instructions

Verify the LUMA_API_KEY is set and authenticates against the Luma API.

Returns the calling user's profile on success (proves the key works) plus the active draft count so the operator can see if anything is staged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so the description bears full burden. It discloses that the tool returns the user's profile and active draft count, and that it authenticates (proving the key works). This is sufficient for a simple health check tool.

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, no redundancy. The main action is front-loaded ('Verify the LUMA_API_KEY...') with additional output explanation efficiently appended.

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?

Given zero parameters and an output schema presumed to define the return structure, the description fully covers what the operator needs to know: purpose, authentication side effect, and return contents.

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 exist; schema coverage is 100%. The description adds value by explaining what the outputs (profile, draft count) mean for the operator, exceeding the baseline expectation.

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 clearly states it verifies the LUMA_API_KEY and authenticates against the Luma API. This distinct health check purpose is well differentiated from sibling tools that handle events, tickets, etc.

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?

The description implies usage before other Luma tools to ensure the API key works. It provides clear context but does not explicitly list when not to use or mention alternatives, though this is obvious given the tool's nature.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/adelaidasofia/luma-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server