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validate_node

Read-onlyIdempotent

Validate an n8n node configuration with full or minimal checks. Returns errors, warnings, and suggestions for comprehensive validation, or a quick required fields check.

Instructions

Validate n8n node configuration. Use mode='full' for comprehensive validation with errors/warnings/suggestions, mode='minimal' for quick required fields check. Example: nodeType="nodes-base.slack", config={resource:"channel",operation:"create"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeTypeYesNode type as string. Example: "nodes-base.slack"
configYesConfiguration as object. For simple nodes use {}. For complex nodes include fields like {resource:"channel",operation:"create"}
modeNoValidation mode. full=comprehensive validation with errors/warnings/suggestions, minimal=quick required fields check only. Default is "full"full
profileNoProfile for mode=full: "minimal", "runtime", "ai-friendly", or "strict". Default is "ai-friendly"ai-friendly

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeTypeYes
workflowNodeTypeNo
displayNameYes
validYes
errorsNo
warningsNo
suggestionsNo
missingRequiredFieldsNoOnly present in mode=minimal
summaryNo
Behavior4/5

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

Annotations already indicate readOnly and idempotent behavior. The description adds valuable context about validation modes and profiles, enhancing transparency beyond the annotations.

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 concise sentences plus a well-chosen example. Every sentence adds value, and the structure is efficient and front-loaded with the core purpose.

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?

Given the presence of an output schema, the description is sufficient. It covers purpose, modes, profiles, and provides a practical example, making the tool fully understandable for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds concrete examples for nodeType and config parameters, and clarifies the nuanced differences between mode and profile enum values, adding meaning beyond the schema.

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 validates n8n node configurations, with specific verbs and resources. It distinguishes from sibling tools like validate_workflow by focusing on node-level validation.

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?

Provides explicit guidance on when to use 'full' vs 'minimal' modes, and includes an example. Does not explicitly mention alternatives or when-not-to-use, but sibling context and description imply its specific scope.

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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