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health_check

Verify the mu-mcp email server is operational and ready to query, view, and interact with local emails through the mu indexer.

Instructions

Health check for the MCP server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The health_check tool handler function. Decorated with @mcp.tool("health_check"), it takes no parameters and returns 'ok' as a simple health check response.
    @mcp.tool("health_check")
    def health_check() -> str:
        """Health check for the MCP server."""
        return "ok"
Behavior2/5

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

With no annotations provided, the description carries full burden but fails to disclose behavioral traits. It doesn't indicate what the health check validates (connectivity, disk space, dependencies), whether it has side effects, or latency characteristics. The existence of an output schema is noted in context signals but not leveraged in the description.

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?

Single sentence with no redundant words. Appropriately brief for a zero-parameter utility, though it could front-load value by indicating this is a diagnostic/status operation rather than just stating the tool name in sentence form.

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

Completeness3/5

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

Given the tool has an output schema (handling return value documentation) and zero parameters, the description meets minimum requirements by identifying the target system. However, it lacks diagnostic context that would help an agent understand when this check is useful versus the sibling data-retrieval tools.

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 has 0 parameters with 100% schema coverage, establishing a baseline of 4. No parameter semantics are needed or provided, which is appropriate for this simple diagnostic endpoint.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the basic function (health check) and target (MCP server), but remains minimal. It distinguishes from siblings like 'query' and 'get_attachment' (data operations vs. status check), though it doesn't clarify what specific health aspects are verified.

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 provided on when to invoke this tool versus alternatives, or under what conditions (e.g., before other operations, when troubleshooting). The description offers no operational context.

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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