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ComfyUI-GPU-Optimizer

ComfyUI-GPU-Optimizer

by mwaight
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

gpu_auto_manage

Automatically offloads models from GPU VRAM when usage exceeds a threshold to prevent out-of-memory errors.

Instructions

Enable or disable automatic VRAM management. When enabled, the optimizer automatically offloads models when VRAM exceeds the threshold.

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": "gpu_auto_manage"
  }
}

Input Schema

NameRequiredDescriptionDefault
enabledNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It explains the core behavior (automatic offloading when enabled and threshold exceeded) but omits details like what happens on disable, performance implications, or reversibility.

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?

Two concise sentences with no fluff. The key action and condition are front-loaded.

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?

For a simple boolean toggle tool, the description covers the main functionality and condition. However, it lacks detail on what happens when disabled and does not mention return values due to no output schema.

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

Parameters2/5

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

Schema has 0% description coverage. The description implies the 'enabled' boolean but adds no extra meaning beyond the schema. It does not explain the effect of true vs false or the default behavior clearly.

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 the tool enables or disables automatic VRAM management, using a specific verb and resource. It distinguishes from sibling tools like gpu_offload_model (manual offload) and gpu_set_threshold (threshold setting).

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?

The description implies when to use (when automatic offloading is desired based on threshold) but does not explicitly state when not to use or mention alternative tools like gpu_offload_model for manual control.

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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