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validate_workflow

Read-onlyIdempotent

Validate n8n workflows by checking structure, connections, expressions, and AI tool settings. Returns errors, warnings, and suggested fixes to ensure deployment readiness.

Instructions

Full workflow validation: structure, connections, expressions, AI tools. Returns errors/warnings/fixes. Essential before deploy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowYesThe complete workflow JSON to validate. Must include nodes array and connections object.
optionsNoOptional validation settings

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
summaryYes
errorsNo
warningsNo
suggestionsNo
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds that it returns errors/warnings/fixes, providing useful context about the output. No contradictions.

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?

Single, well-formed sentence that is front-loaded with 'Full workflow validation' and efficiently conveys scope, output, and usage context without 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 the presence of an output schema (not shown) and rich schema descriptions, the description adequately covers the main validation aspects and deployment context. It could mention input requirements but those are clear from the schema.

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% with descriptions for all parameters. The description adds the term 'AI tools' which is not explicitly in the schema, enhancing understanding beyond structured fields.

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?

Description clearly states the tool validates a workflow covering structure, connections, expressions, and AI tools, and returns errors/warnings/fixes. It differentiates from siblings like validate_node (single node) and n8n_test_workflow (execution testing).

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 phrase 'Essential before deploy' implies when to use it (pre-deployment), but doesn't explicitly exclude post-deployment or mention alternatives like n8n_autofix_workflow for fixing issues.

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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