Skip to main content
Glama

visualize_workflow

Converts ComfyUI workflow JSON into a Mermaid flowchart with nodes grouped by category (loading, conditioning, sampling, image, output) and connections labeled by data type.

Instructions

Convert a ComfyUI workflow JSON into a Mermaid flowchart diagram. Returns mermaid syntax showing nodes grouped by category (loading, conditioning, sampling, image, output) with connections labeled by data type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowYesComfyUI workflow JSON (as a JSON string or object)
directionNoFlowchart direction: LR (left-to-right) or TB (top-to-bottom)LR
show_valuesNoInclude widget values (seed, steps, cfg, etc.) in node labels
Behavior4/5

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

Without annotations, the description carries the full burden. It discloses that the tool converts JSON to Mermaid syntax with category grouping and data type labeling, which is sufficiently transparent for a read-only conversion tool. No side effects or destructive actions are mentioned, which is appropriate.

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?

The description is a single, well-structured sentence that front-loads the main action and includes key details without extraneous words. Every part earns its place.

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 3 parameters with full schema coverage, no output schema, and no annotations, the description adequately covers the tool's function and output. It could mention that the return value is a string, but the Mermaid syntax mention is sufficiently complete for an agent to understand the result.

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%, so each parameter is already documented. The description adds value by explaining the output structure (grouped nodes, labeled connections) but does not add specific semantics to individual parameters beyond what the schema provides. Baseline 3 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 converts ComfyUI workflow JSON to a Mermaid flowchart, with specifics about grouping and labeling. It distinguishes itself from the sibling tool 'visualize_workflow_hierarchical' by implying a different visualization approach.

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 explains what the tool does but does not explicitly guide when to use this tool versus alternatives like 'visualize_workflow_hierarchical' or other visualization siblings. Usage context is implied but not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sandyup/comfyui-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server