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add_node

Add a node to a ComfyUI workflow with auto-connection of typed inputs. Specify node class and input values or connections to modify workflows programmatically.

Instructions

Add a node to a workflow with auto-connection of typed inputs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNoJSON string of input values/connections. Values: {"text": "a cat", "seed": 42} Connections: {"clip": ["1", 1]} (links to node "1", output index 1).{}
class_typeYesNode class name (e.g. "CLIPTextEncode", "KSampler").
workflow_idYesThe workflow to modify.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the auto-connection behavior but does not explain its side effects, potential to override existing connections, or failure modes. This leaves gaps for a mutation tool.

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 with no filler. It front-loads the action and resource and includes a relevant qualifier, making it efficiently informative.

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?

While the output schema and parameter schemas exist, the description lacks detail on edge cases, validation behavior, or what happens when auto-connection fails. It is adequate but not complete for a workflow-modifying tool with no annotations.

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%, so the baseline is 3. The description's mention of 'auto-connection' adds minimal meaning beyond the schema's detailed explanation of inputs connections. No additional parameter semantics are provided.

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 'Add a node to a workflow with auto-connection of typed inputs' clearly states a specific action (add) and resource (node in a workflow). The auto-connection detail distinguishes it from sibling tools like remove_node and set_inputs.

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 usage for adding nodes but does not explicitly state when to use it versus alternatives or mention any exclusions. There is no guidance about prerequisites like workflow existence or node class validity.

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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