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ComfyUI-GPU-Optimizer

ComfyUI-GPU-Optimizer

by mwaight
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

comfyui_start

Starts ComfyUI with automatic VRAM headroom reservation for system stability, with optional low or no VRAM modes.

Instructions

Start ComfyUI with GPU optimizer. Automatically reserves VRAM headroom for system stability.

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": "comfyui_start"
  }
}

Input Schema

NameRequiredDescriptionDefault
lowvramNo
novramNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, so the description carries full burden. It mentions automatically reserving VRAM headroom, but does not explain the impact of parameters (lowvram, novram) on behavior, error handling, or failure modes. The behavioral disclosure is partial.

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 concise sentence with no fluff. However, it sacrifices necessary details for brevity.

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

Completeness1/5

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

The tool has no output schema and limited parameter info. The description fails to explain return values, expected behavior after start, error conditions, or the role of parameters. It is inadequate for an agent to use this tool correctly without additional context.

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

Parameters1/5

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

Schema description coverage is 0%, and the description contains no information about the two boolean parameters (lowvram, novram). The agent cannot deduce their meaning or defaults from the description.

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 clearly states the tool starts ComfyUI with GPU optimizer and mentions VRAM headroom. It distinguishes from sibling tools like comfyui_restart and comfyui_stop, but could better differentiate from gpu_optimize and other GPU tools.

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 on when to use this tool vs alternatives, no prerequisites mentioned, and no explanation of when not to use it. The description only implies usage for starting ComfyUI.

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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