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workflow_to_dsl

Converts ComfyUI API-format workflows into a compact DSL for easier reading and editing, with lossless round-trip conversion back to JSON.

Instructions

Convert a ComfyUI API-format workflow into a compact, human/LLM-readable DSL — easier to read and edit than raw JSON, and round-trips losslessly back via dsl_to_workflow. Connections render as key <- nodeId.outputIndex, literals as key = <JSON>. (Experimental.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowYesComfyUI workflow in API format (node ID -> {class_type, inputs})
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the output format (connections and literals) and notes the tool is experimental, but does not explicitly state that the input is not modified or discuss error handling. This leaves some behavioral uncertainty.

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 sentences, front-loaded with purpose and benefit, includes a brief format example and a note about experimental status. Every sentence adds value, no waste.

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?

Given one parameter with full schema coverage and no output schema, the description is reasonably complete, explaining the DSL format and round-trip. It could mention limitations or validation, but the core information is present.

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 coverage is 100% with a description for the single parameter. The tool description adds no additional parameter semantics beyond what the schema provides, meeting the baseline.

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 converts a ComfyUI API-format workflow into a compact DSL, with a specific verb ('Convert') and resource ('workflow'). It distinguishes from siblings like analyze_workflow and dsl_to_workflow by mentioning the DSL format and lossless round-trip.

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 context for when to use the tool (when a more readable representation is needed) and mentions the round-trip capability via dsl_to_workflow. However, it does not explicitly state when not to use it or provide alternative scenarios.

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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