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validate_workflow

Read-onlyIdempotent

Validate workflow structure, connections, expressions, and AI tool configurations. Returns errors, warnings, and fixes to prevent deployment issues.

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 indicate readOnly and idempotent; description adds behavioral detail like returning errors/warnings/fixes and being essential before deployment. No contradiction.

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: first defines tool, second gives purpose (before deploy). Front-loaded with key information; no fluff.

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?

With output schema present, description appropriately covers validation scope and use case. Adds detail about AI tools validation not in schema.

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%, so baseline 3. Description does not add parameter-level detail beyond what schema already provides.

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 'Full workflow validation' and lists specific aspects: structure, connections, expressions, AI tools. Distinguishes from sibling 'validate_node' by scope.

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?

Explicitly says 'Essential before deploy', providing usage context. Lists validation categories, but lacks explicit when-not-to-use or mention of alternatives.

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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