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Glama
Arkava-AI
by Arkava-AI

Health Check

gamma_health
Read-onlyIdempotent

Check if the Gamma MCP server and API are reachable and working. Validates API key and account status to confirm configuration.

Instructions

Check if the Gamma MCP server and API are reachable and working.

Use this to verify your configuration is correct before running other tools. Returns whether the API key is valid, the API is reachable, and the account status.

Useful for:

  • Confirming the server is running after startup

  • Troubleshooting connection issues

  • Verifying your GAMMA_API_KEY is valid

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoOutput format: 'markdown' for human-readable or 'json' for structured datamarkdown
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds details about what the tool checks (API key, reachability, account status) and its output, which is fully transparent and consistent with annotations.

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?

The description is highly concise: one sentence stating purpose, one sentence giving usage advice, and a bullet list of use cases. Every sentence adds value with no redundancy.

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 the tool's simplicity (one optional parameter, no output schema), the description fully covers what the tool does, when to use it, and what it returns. Annotations provide safety context, and the description compensates for lack of output schema by stating return fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%: the only parameter 'response_format' is fully documented with enum values, default, and description. The tool description adds no additional information about the parameter, so baseline 3 is appropriate.

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 explicitly states the tool checks if the Gamma MCP server and API are reachable and working, and specifies it returns API key validity, reachability, and account status. This clearly distinguishes it from sibling tools like gamma_generate or gamma_list_themes.

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

Usage Guidelines5/5

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

The description provides explicit guidance: 'Use this to verify your configuration is correct before running other tools.' It also lists specific use cases like confirming server startup, troubleshooting connections, and verifying API key validity.

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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