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gemini2026

Documentation Search MCP Server

by gemini2026

get_environment_config

Retrieve current environment configuration and settings for the Documentation Search MCP Server to access programming documentation from official sources.

Instructions

Get current environment configuration and settings.

Returns:
    Current environment configuration details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The primary handler function for the MCP tool 'get_environment_config'. Decorated with @mcp.tool() for automatic registration. Fetches merged configuration from the global config_manager instance and constructs a response dictionary with environment details, server config, cache settings, rate limiting, features, and available libraries.
    async def get_environment_config():
        """
        Get current environment configuration and settings.
    
        Returns:
            Current environment configuration details
        """
        from .config_manager import config_manager
    
        config = config_manager.get_config()
    
        return {
            "environment": config_manager.environment,
            "server_config": {
                "logging_level": config["server_config"]["logging_level"],
                "max_concurrent_requests": config["server_config"][
                    "max_concurrent_requests"
                ],
                "request_timeout_seconds": config["server_config"][
                    "request_timeout_seconds"
                ],
            },
            "cache_config": {
                "enabled": config["cache"]["enabled"],
                "ttl_hours": config["cache"]["ttl_hours"],
                "max_entries": config["cache"]["max_entries"],
            },
            "rate_limiting": {
                "enabled": config["rate_limiting"]["enabled"],
                "requests_per_minute": config["rate_limiting"]["requests_per_minute"],
            },
            "features": config["server_config"]["features"],
            "total_libraries": len(config_manager.get_docs_urls()),
            "available_libraries": list(config_manager.get_docs_urls().keys())[
                :10
            ],  # Show first 10
        }
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 'Get current environment configuration and settings' and mentions it returns details, but doesn't specify what those details include, whether it's read-only, requires permissions, has side effects, or handles errors. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief with two sentences, but the second sentence 'Returns: Current environment configuration details' is redundant with the first and adds little value. It could be more front-loaded by integrating the return information into the initial statement, making it slightly inefficient.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'configuration details' are returned, their format, or any behavioral aspects like error handling. For a tool that might provide critical system information, this leaves too much unspecified for effective agent use.

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, and the input schema has 100% description coverage (though empty). The description doesn't need to compensate for missing parameter info, as there are none to document. It appropriately focuses on the tool's purpose rather than parameters, meeting the baseline for zero-param tools.

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 tool 'Get current environment configuration and settings', which is a clear verb+resource combination. However, it doesn't distinguish this from sibling tools like 'get_current_config' or 'health_check' that might also provide configuration information, making it vague about its specific scope compared to alternatives.

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. With siblings like 'get_current_config' and 'health_check' that might overlap, the description lacks any context about use cases, prerequisites, or exclusions, leaving the agent to guess based on tool names 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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