create_workflow
Build n8n workflows from JSON to test automation processes in a secure environment without credential exposure.
Instructions
Create a new n8n workflow from JSON.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workflow | Yes |
Build n8n workflows from JSON to test automation processes in a secure environment without credential exposure.
Create a new n8n workflow from JSON.
| Name | Required | Description | Default |
|---|---|---|---|
| workflow | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only states the basic action without disclosing behavioral traits like permissions needed, whether the workflow is immediately active, error handling, or response format. It mentions JSON input but doesn't elaborate on structure or constraints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste, front-loading the key action and resource appropriately. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (creation tool with nested object parameter, no annotations, no output schema), the description is incomplete. It lacks details on input format, behavioral expectations, and output, leaving significant gaps for an AI agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate but only vaguely references 'JSON' without explaining the 'workflow' object's structure, required fields, or examples. This adds minimal meaning beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create') and resource ('new n8n workflow from JSON'), making the purpose unambiguous. It distinguishes from siblings like 'update_workflow' or 'delete_workflow' by specifying creation, though it doesn't explicitly contrast with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'update_workflow' or prerequisites. The description implies usage for initial workflow creation but lacks explicit context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Souzix76/n8n-workflow-tester-safe'
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