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get_history

Retrieve execution history for a ComfyUI prompt to diagnose failures. Returns status, timing, cached nodes, output details, and full error information.

Instructions

Get execution history for a ComfyUI prompt. Returns status, timing, cached nodes, output details, and full error information including Python tracebacks. Use after a failed enqueue_workflow to diagnose what went wrong.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_idNoSpecific prompt ID to look up (returned by enqueue_workflow). If omitted, returns the most recent COMMITTED execution (chosen by ComfyUI's queue number, not dict order). Note: immediately after a run finishes it can briefly lag by one until ComfyUI commits the new entry — pass the prompt_id from enqueue_workflow to get that exact run, and prefer the run-finished event for naming a just-produced output.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses return details, default behavior (most recent committed execution), and a brief lag caveat. Could be enhanced by stating idempotency or auth requirements.

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?

Three sentences, front-loaded with purpose, then return details, then usage guidance. No wasted words.

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

Completeness5/5

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

For a single-optional-parameter tool with no output schema, the description covers purpose, return values, and usage guidance comprehensively.

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?

Schema description coverage is 100%, and the input schema already fully describes the prompt_id parameter including default behavior and lag note. The tool description adds no additional parameter information.

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?

Description clearly states 'Get execution history for a ComfyUI prompt' with specific verb and resource, and details return types (status, timing, etc.). Distinguishes from sibling tools by focusing on history retrieval.

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

Usage Guidelines5/5

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

Explicitly says 'Use after a failed enqueue_workflow to diagnose what went wrong.' Provides clear context and when to use, including how to specify the prompt ID.

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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