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health_check

Check the operational status of the MonteWalk quantitative finance server to verify system availability and functionality.

Instructions

Returns the health status of the MonteWalk server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • server.py:32-35 (handler)
    The handler function for the MCP tool 'health_check'. It is directly decorated with @mcp.tool(), which both defines the implementation and registers it with the MCP server. The function returns a simple health status message.
    @mcp.tool()
    def health_check() -> str:
        """Returns the health status of the MonteWalk server."""
        return "MonteWalk Server is running and healthy."
  • A helper version of health_check used in the Gradio UI dashboard (tools_map["Dashboard"]), identical to the MCP tool but without MCP decorator.
    def health_check() -> str:
        return "MonteWalk Server is running and healthy."
  • app.py:285-285 (registration)
    UI tool map entry including health_check helper function for the dashboard tab.
    "Dashboard": [health_check, get_account_info, get_portfolio_summary],
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns health status but doesn't elaborate on what that entails (e.g., uptime, metrics, error details), response format, or any operational constraints like rate limits or authentication needs. This leaves significant gaps in understanding the tool's behavior.

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, clear sentence with zero wasted words, making it highly concise and front-loaded. It efficiently communicates the core purpose without any fluff or redundancy.

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's low complexity (0 parameters, no annotations) and the presence of an output schema, the description is minimally adequate. However, it lacks details on what 'health status' includes, which could be important for an agent to interpret the results, even with an output schema. This makes it somewhat incomplete for full contextual understanding.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't mention parameters, which is correct for a parameterless tool, earning a baseline score of 4 for not adding unnecessary information.

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 clearly states the tool's purpose with a specific verb ('Returns') and resource ('health status of the MonteWalk server'), making it immediately understandable. However, it doesn't distinguish this from any sibling tools, which is reasonable since no other tools appear to serve a similar health-check function among the listed siblings.

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?

The description provides no guidance on when to use this tool versus alternatives, such as under what conditions or scenarios it should be invoked. It lacks any mention of prerequisites, frequency, or contextual triggers, leaving usage entirely implicit.

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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