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mixophrygian

Browser History Analysis MCP

by mixophrygian

health_check

Test if the Browser History Analysis MCP server is operational by performing a quick connectivity check.

Instructions

Simple health check that returns immediately to test if the MCP server is working.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The health_check tool handler implementation, registered via @mcp.tool() decorator. This function returns a dictionary confirming the server is healthy with a timestamp.
    @mcp.tool()
    def health_check() -> Dict[str, Any]:
        """Simple health check that returns immediately to test if the MCP server is working."""
        return {
            "status": "healthy",
            "message": "Browser MCP server is running",
            "timestamp": time.time()
        }
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: 'returns immediately' (indicating low latency/no processing delay) and 'test if the MCP server is working' (clarifying the diagnostic nature). However, it doesn't specify response format, error conditions, or what 'working' entails.

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, efficient sentence that front-loads the essential information: 'Simple health check' establishes purpose, 'returns immediately' describes behavior, and 'to test if the MCP server is working' provides usage context. Every word earns its place with zero waste.

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 (0 parameters, no annotations, but has output schema), the description is complete enough. It explains what the tool does, when to use it, and key behavioral characteristics. With an output schema present, the description doesn't need to explain return values, making this appropriately comprehensive.

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 description coverage. The description appropriately doesn't discuss parameters since none exist, maintaining focus on the tool's purpose. A baseline of 4 is appropriate for zero-parameter tools when the description is otherwise complete.

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 the tool's purpose: 'Simple health check that returns immediately to test if the MCP server is working.' It specifies the verb ('health check'), resource ('MCP server'), and distinguishes it from siblings by focusing on server functionality testing rather than browser-related operations.

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 explicitly states when to use this tool: 'to test if the MCP server is working.' It provides clear context for usage (verifying server connectivity/functionality) and implicitly distinguishes it from sibling tools that handle browser-specific operations like history analysis or status checks.

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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