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status

Checks whether a local ComfyUI setup is reachable and ready by reporting version, queue length, GPU/VRAM, selectable model files, and required nodes without starting ComfyUI.

Instructions

体检:ComfyUI 是否可达、版本、队列长度、显卡与显存、三个模型文件是否在可加载列表里、关键节点是否存在。只读,不会启动 ComfyUI。Health check: reachability, version, queue length, GPU/VRAM, whether the three model files are selectable, and whether the key nodes exist. Read-only; it never starts ComfyUI.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.2

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full behavioral burden and does so for the most important trait: it explicitly declares read-only and that it will not start ComfyUI, which prevents an agent from assuming it can be used as a launcher. It omits less critical traits such as latency, permission/network prerequisites, or what happens if ComfyUI is unreachable.

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 content is front-loaded and each listed item is a concrete check rather than filler. The only inefficiency is the full bilingual duplication, which doubles length without adding information for an English-reading agent.

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?

There is no output schema, so the description must convey what comes back — the enumerated checklist (reachability, version, queue, GPU/VRAM, model availability, node presence) effectively defines the result contents. What is missing is the result shape (booleans vs. messages) and error behavior when the server is down, which keeps it from a 5.

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 takes zero parameters and the schema is an empty object, so there is no parameter semantics to add. Per the baseline for 0-param tools, a 4 is appropriate; the description correctly avoids inventing arguments.

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 names a specific resource (ComfyUI) and enumerates exactly what the check covers: reachability, version, queue length, GPU/VRAM, three model files, and key nodes. This is far more specific than a generic 'status' label. It stops short of naming how it differs from siblings (e.g. free_vram, which also touches VRAM), so it lands at 4 rather than 5.

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?

Usage is implied by the enumerated checks — an agent can infer this is a pre-flight/diagnostic call. The line 'never starts ComfyUI' also serves as a when-not hint (do not rely on this to boot the server). However, there is no explicit routing guidance, such as pointing to free_vram when VRAM is the problem or to generate for actual work.

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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