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dipseth

google-workspace-unlimited

Server Health Check

health_check
Read-onlyIdempotent

Verify server health and configuration for Google Workspace integration. Diagnose issues by checking current setup and access status.

Instructions

Check server health and configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailNoThe user's Google email address for Drive access. If None, uses the current authenticated user from FastMCP context (auto-injected by middleware).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYesServer host address
portYesServer port number
errorNoError message if health check failed
statusYesOverall health status: 'healthy', 'degraded', or 'unhealthy'
healthyYesWhether the server is in a healthy state
logLevelYesCurrent logging level
serverNameYesName of the MCP server
memoryHealthNoMemory and process health metrics
serverVersionYesVersion of the MCP server
activeSessionsYesNumber of currently active user sessions
oauthConfiguredYesWhether OAuth credentials are configured
oauthFlowStatusNoStatus of OAuth authentication flows
oauthCallbackUrlYesOAuth callback URL for authentication redirects
credentialsDirectoryYesPath to the credentials directory
credentialsDirectoryAccessibleYesWhether the credentials directory exists and is accessible
Behavior2/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the read-only, idempotent nature is known. The description adds no further behavioral context such as what happens if the server is unhealthy or what data is checked. It does not contradict 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 a single sentence, front-loaded with the essential action. It wastes no words and is appropriately sized for a simple health check tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that the tool has an output schema (not shown but indicated) and annotations, the description is too sparse. It does not explain what aspects of health are checked, what configuration means, or when to use it in a workflow. For a tool with zero required parameters, more context would help the agent.

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 description coverage is 100% because the single optional parameter 'user_google_email' is adequately described in the schema. The description adds no extra meaning beyond the schema, meeting the baseline.

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?

The description 'Check server health and configuration' clearly states the verb 'check' and the resources 'server health' and 'configuration'. It is specific enough to understand the tool's general purpose, but does not differentiate it from sibling tools like 'check_drive_auth' which checks a specific aspect.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'check_drive_auth' or 'get_tool_analytics'. The description lacks any context about prerequisites or typical scenarios.

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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