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djm81

Log Analyzer MCP

by djm81

get_server_env_details

Retrieve Python environment details including sys.path and sys.executable from the Log Analyzer MCP server to understand its runtime configuration for log analysis operations.

Instructions

Returns sys.path and sys.executable from the running MCP server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Handler function for the 'get_server_env_details' tool. Decorated with @mcp.tool() which handles registration in FastMCP. Returns server environment details including sys.executable, sys.path, cwd, and PYTHONPATH.
    @mcp.tool()
    async def get_server_env_details() -> dict[str, Any]:
        """Returns sys.path and sys.executable from the running MCP server."""
        logger.info("get_server_env_details called.")
        details = {
            "sys_executable": sys.executable,
            "sys_path": sys.path,
            "cwd": os.getcwd(),
            "environ_pythonpath": os.environ.get("PYTHONPATH"),
        }
        logger.info(f"Server env details: {details}")
        return details
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly describes what the tool returns (sys.path and sys.executable), which is helpful. However, it doesn't mention potential side effects, performance characteristics, authentication requirements, or error conditions. The description provides basic behavioral information but lacks depth for a tool with no annotation coverage.

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 immediately states the tool's purpose without any unnecessary words. It's front-loaded with the core functionality and contains zero redundant information. Every word earns its place in this compact description.

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

Completeness4/5

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

Given that the tool has zero parameters, 100% schema coverage, and an output schema exists, the description provides adequate context. It clearly states what information will be returned (sys.path and sys.executable). The existence of an output schema means the description doesn't need to detail return values. However, with no annotations, it could benefit from mentioning that this is a read-only, non-destructive operation.

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 zero parameters, and schema description coverage is 100% (though there are no parameters to cover). The description appropriately doesn't discuss parameters since none exist. It focuses instead on what the tool returns, which is the correct emphasis for a parameterless tool.

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 specific action ('Returns') and the exact resources being returned ('sys.path and sys.executable from the running MCP server'). It precisely distinguishes this tool from sibling tools that perform testing, logging, or coverage operations by focusing exclusively on server environment details.

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

Usage Guidelines3/5

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

The description implies usage context (when you need to inspect the server's Python environment) but doesn't explicitly state when to use this tool versus alternatives. No exclusions or specific prerequisites are mentioned, leaving the agent to infer appropriate usage scenarios from the tool's purpose alone.

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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