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get_logs

Retrieve ComfyUI server runtime logs, filterable by keyword and line count, to debug execution errors, model loading issues, missing nodes, or Python tracebacks.

Instructions

Get ComfyUI server runtime logs. Useful for debugging execution errors, model loading issues, missing nodes, and Python tracebacks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_linesNoMaximum number of log lines to return from the end (default: 100)
keywordNoFilter log lines containing this keyword (case-insensitive). Examples: 'error', 'warning', 'VRAM', a node name
Behavior3/5

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

No annotations present; description does not explicitly declare the operation as read-only or safe, but retrieving logs is inherently non-destructive. Behavioral disclosure is adequate but could be improved.

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 short, targeted sentences with no extraneous information. Every word adds value.

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?

No output schema, so description carries burden to explain return format. It implies log lines but doesn't explicitly confirm format or structure. Adequate for a simple tool.

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?

Input schema has 100% coverage; description does not add extra meaning beyond what schema provides. Baseline score is appropriate.

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 retrieves 'ComfyUI server runtime logs' and specifies debugging use cases. It is specific and distinct from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides usage context ('useful for debugging execution errors...') but does not explicitly state when not to use or mention alternatives. Still clearly beneficial.

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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