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validate_node

Read-onlyIdempotent

Validate an n8n node configuration to catch missing required fields. Use full mode for detailed errors and suggestions, or minimal mode for a quick 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
modeNoValidation mode. full=comprehensive validation with errors/warnings/suggestions, minimal=quick required fields check only. Default is "full"full
configYesConfiguration as object. For simple nodes use {}. For complex nodes include fields like {resource:"channel",operation:"create"}
profileNoProfile for mode=full: "minimal", "runtime", "ai-friendly", or "strict". Default is "ai-friendly"ai-friendly
nodeTypeYesNode type as string. Example: "nodes-base.slack"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
errorsNo
summaryNo
nodeTypeYes
warningsNo
displayNameYes
suggestionsNo
workflowNodeTypeNo
missingRequiredFieldsNoOnly present in mode=minimal
Behavior3/5

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

Annotations already mark it as readOnlyHint true and idempotentHint true, so the description has less burden. It adds mode parameters and example usage but does not detail return format or success/failure behavior, which is partially covered by the output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with a clear example, no fluff. Could be slightly more compact by integrating the example into the main statement, but it is efficient and front-loaded with purpose.

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 the complexity (4 params, nested objects, output schema) and 100% schema coverage, the description covers the key behavior. The output schema handles return details, so no further explanation needed. The example adds practical context.

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 description coverage is 100%, so baseline is 3. The description provides an example for nodeType and config that goes beyond the schema by showing a practical use case. This adds value, earning a 4.

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?

Clearly states it validates n8n node configuration with a specific verb and resource. Provides examples of nodeType and config to distinguish it from sibling tools like 'search_nodes' or 'get_node'.

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 describes two validation modes ('full' for comprehensive, 'minimal' for quick checks) and gives usage example. Context suggests siblings like 'validate_workflow' exist but no direct 'when not to use' is stated, though mode distinction sufficiently guides selection.

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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