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validate_workflow

Read-onlyIdempotent

Validates n8n workflows for structure, connections, expressions, and AI tools, returning errors, warnings, and fixes to ensure readiness before deployment.

Instructions

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

Input Schema

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
errorsNo
summaryYes
warningsNo
suggestionsNo
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds that it returns errors/warnings/fixes, confirming no mutation and clarifying output format. 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?

Two sentences, front-loaded with purpose, no wasted words. Efficient and to the point.

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?

With output schema available, description need not detail return format. It mentions errors/warnings/fixes, which is sufficient. Could have noted that validation profiles are available, but overall adequate.

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% and each parameter is well-documented in the schema. Description does not add extra parameter details beyond what schema provides, so 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 validates workflow structure, connections, expressions, and AI tools, and distinguishes it from siblings like validate_node (single node) and n8n_autofix_workflow (fixes issues).

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?

Description says 'Essential before deploy', providing clear context for when to use, but does not explicitly mention when not to use or compare to alternatives like n8n_autofix_workflow.

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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