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create_workflow

Describe the desired automation in plain language. The system constructs a workflow with appropriate triggers and actions across your connected apps.

Instructions

Create a new workflow from a description. Describe what should happen and the system will build the workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesWorkflow name
triggerNoWhat triggers this workflow: manual, webhook, shopify_order, stripe_payment, contact_created, etc.
descriptionYesDescribe what the workflow should do, e.g., "When a new Shopify order comes in, create a contact in GHL, send a welcome SMS, and add to the New Customer pipeline"
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that the system builds the workflow from a description, which implies AI generation, but omits key behavioral traits such as permissions required, whether creation is synchronous, return values, or potential side effects beyond creation.

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?

The description is two short sentences, front-loaded with the core action, and every word adds value. There is no fluff or repetition, making it appropriately concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations or output schema, the description is the only source of context. It does not mention what the tool returns after creation, any constraints on the description input, or when this creation approach is appropriate. The schema covers parameters but not the overall operational context, leaving the description incomplete for an AI agent deciding whether to invoke it.

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 description coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning beyond the schema, but it does align with the 'description' parameter by mentioning 'Describe what should happen.' This meets the baseline for high coverage.

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 creates a new workflow from a description, using a specific verb and resource. It distinguishes itself from sibling tools like run_workflow, list_workflows, and get_workflow by emphasizing the creation-from-description behavior.

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 description implies the tool is used when you have a description of desired workflow behavior but does not explicitly state when to use it versus alternatives, nor does it mention any exclusions. There is no reference to sibling tools or conditions where another tool would be more appropriate.

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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