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check_llm_status

Checks whether a local LLM server is active by testing if a specified port is listening.

Instructions

指定されたポートでサーバーがリッスンしているか(稼働中か)を確認します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portYes確認するポート番号

Implementation Reference

  • Handler for the 'check_llm_status' tool. Extracts the 'port' argument from the call, validates it is an integer, then calls process_manager.is_port_in_use(port) and returns the result as a lowercase boolean string ('true'/'false').
    elif name == "check_llm_status":
        port = arguments.get("port")
        if not isinstance(port, int):
            raise ValueError("Port must be an integer")
        
        is_running = process_manager.is_port_in_use(port)
        return [types.TextContent(type="text", text=str(is_running).lower())]
  • Tool registration with input schema for 'check_llm_status'. Defines name, description, and required 'port' parameter (type: integer).
    types.Tool(
        name="check_llm_status",
        description="指定されたポートでサーバーがリッスンしているか(稼働中か)を確認します。",
        inputSchema={
            "type": "object",
            "properties": {
                "port": {"type": "integer", "description": "確認するポート番号"}
            },
            "required": ["port"],
        },
    ),
  • Registration of all tools via @server.list_tools() decorator; the 'check_llm_status' tool is registered on lines 29-39 within the handle_list_tools function.
    @server.list_tools()
    async def handle_list_tools() -> list[types.Tool]:
        """AIエージェントに提供するツールの一覧とスキーマを定義します"""
        return [
            types.Tool(
                name="check_system_environment",
                description="現在のシステム環境(Apple Siliconか、空きメモリが何GBあるかなど)を診断します。",
                inputSchema={
                    "type": "object",
                    "properties": {},
                },
            ),
            types.Tool(
                name="check_llm_status",
                description="指定されたポートでサーバーがリッスンしているか(稼働中か)を確認します。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "port": {"type": "integer", "description": "確認するポート番号"}
                    },
                    "required": ["port"],
                },
            ),
            types.Tool(
                name="list_running_servers",
                description="現在バックグラウンドで稼働しているすべてのローカルLLMサーバー(ポート番号とモデル名)の一覧を取得します。",
                inputSchema={
                    "type": "object",
                    "properties": {},
                },
            ),
            types.Tool(
                name="search_mlx_models",
                description="Hugging Faceからダウンロード可能なMLXフォーマットのLLMモデルを検索・リストアップします。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "search_query": {
                            "type": "string",
                            "description": "検索キーワード(例: 'llama', 'qwen')。未指定の場合は人気のMLXモデルを返します。"
                        },
                        "limit": {
                            "type": "integer",
                            "description": "取得する最大件数。デフォルトは10。"
                        }
                    },
                },
            ),
            types.Tool(
                name="download_model",
                description="Hugging Faceから指定されたMLXモデルを事前にダウンロードし、ローカルにキャッシュします。大きなモデルの起動前の準備に利用します。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "model_name": {
                            "type": "string",
                            "description": "ダウンロードするモデル名 (例: mlx-community/Llama-3-8B-Instruct-4bit)"
                        }
                    },
                    "required": ["model_name"],
                },
            ),
            types.Tool(
                name="launch_llm_server",
                description="mlx_lm.server をサブプロセスとしてバックグラウンドで起動します。空きメモリが少ない場合は起動が拒否されます。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "model_name": {
                            "type": "string",
                            "description": "起動するモデル名 (例: mlx-community/Llama-3-8B-Instruct-4bit)",
                        },
                        "port": {"type": "integer", "description": "サーバーを起動するポート番号"},
                        "memory_requirement_gb": {
                            "type": "number",
                            "description": "起動に必要な空きメモリの目安(GB)。未指定時はデフォルトで 4.0GB。"
                        }
                    },
                    "required": ["model_name", "port"],
                },
            ),
            types.Tool(
                name="restart_llm_server",
                description="指定されたポートで稼働しているサーバーを一度停止し、再起動します。モデルの切り替えなどにも使用できます。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "port": {"type": "integer", "description": "再起動するサーバーのポート番号"},
                        "model_name": {
                            "type": "string",
                            "description": "(オプション)新しく起動するモデル名。省略した場合は現在そのポートで稼働しているモデルをそのまま再起動します。"
                        },
                        "memory_requirement_gb": {
                            "type": "number",
                            "description": "(オプション)起動に必要な空きメモリの目安(GB)。未指定時はデフォルトで 4.0GB。"
                        }
                    },
                    "required": ["port"],
                },
            ),
            types.Tool(
                name="shutdown_llm_server",
                description="指定されたポートで稼働しているローカル LLM サーバープロセスを安全に終了させます。",
                inputSchema={
                    "type": "object",
                    "properties": {
                        "port": {"type": "integer", "description": "終了させるサーバーのポート番号"}
                    },
                    "required": ["port"],
                },
            ),
        ]
  • Helper method is_port_in_use on MlxProcessManager. Uses psutil.net_connections to check if the given port is in LISTEN state. Returns False on AccessDenied.
    def is_port_in_use(self, port: int) -> bool:
        """指定されたポートが LISTEN 状態(使用中)かどうかを判定する"""
        try:
            for conn in psutil.net_connections(kind="inet"):
                if conn.laddr.port == port and conn.status == "LISTEN":
                    return True
            return False
        except psutil.AccessDenied:
            return False
Behavior2/5

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

The description does not disclose what the tool returns (e.g., boolean, status message) or any side effects. Without annotations, the agent lacks behavioral context beyond the basic function.

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 concise sentence with no unnecessary words, perfectly front-loaded and efficient.

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 simple tool with one parameter and no output schema, the description is adequate but lacks mention of return format or how it differs from list_running_servers. It could be more complete for optimal agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Parameter schema coverage is 100%, and the description adds minimal value beyond the schema's parameter description. The baseline of 3 applies since the schema already documents the port parameter.

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 it checks if a server is listening on a specified port, using a specific verb and resource. It distinguishes from sibling tools like launch_llm_server or shutdown_llm_server by focusing on status checking.

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 such as list_running_servers or check_system_environment. There is no mention of prerequisites or exclusions.

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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