Skip to main content
Glama
Leonamin

Naver Mail MCP Server

by Leonamin

debug_env

Diagnose environment variables and server status for the Naver Mail MCP Server to identify configuration issues and ensure proper mail integration functionality.

Instructions

환경 변수 및 서버 상태 디버깅

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler implementation for the debug_env tool.
    elif name == "debug_env":
        debug_info = {
            "naver_id": "***" if NAVER_ID else None,
            "naver_password": "***" if NAVER_PASSWORD else None,
            "working_dir": os.getcwd(),
        }
        return [TextContent(type="text", text=f"Debug Info:\n{debug_info}")]
  • server.py:269-277 (registration)
    Tool registration for debug_env.
    Tool(
        name="debug_env",
        description="환경 변수 및 서버 상태 디버깅",
        inputSchema={
            "type": "object",
            "properties": {},
            "additionalProperties": False,
        }
    ),
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 mentions 'debugging' but doesn't specify whether this is a read-only inspection, a diagnostic test, or a modification tool. It lacks details on permissions, side effects, rate limits, or output format, leaving significant gaps in understanding how the tool behaves.

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?

The description is a single, efficient phrase in Korean that conveys the core purpose without unnecessary words. It's appropriately sized for a simple tool, though it could be more front-loaded with specific actions if it were more detailed. There's no wasted text, but it's borderline under-specified rather than concise.

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 tool's complexity (implied by 'debugging' which can involve various operations), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, how it performs debugging, or any behavioral traits. For a tool that might inspect system states, more context is needed to guide effective 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 with 100% schema description coverage, so the schema fully documents the absence of inputs. The description doesn't need to add parameter details, and it appropriately doesn't mention any. This meets expectations for a parameterless tool, though it doesn't compensate for any gaps since there are none.

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 '환경 변수 및 서버 상태 디버깅' (environment variables and server status debugging) states what the tool does in general terms - debugging. However, it's vague about the specific action (e.g., whether it retrieves, modifies, or tests these values) and doesn't distinguish it from siblings like 'ping' (which might also check server status). It's better than a tautology but lacks specificity.

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. It doesn't mention prerequisites, context, or exclusions, nor does it differentiate from sibling tools like 'ping' (which might test connectivity) or other debugging-related operations. Users must infer usage from the vague purpose alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Leonamin/NaverMail-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server