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timps_n8n_workflow_agent

Converts plain-English task descriptions into complete, importable n8n workflow JSON, including a visual description of every node.

Instructions

n8n Workflow Agent — converts a plain-English task description into a complete, importable n8n workflow JSON. Knows all n8n core nodes, integrations (Slack, Gmail, GitHub, Notion, Airtable, HTTP Request, Webhook, Cron, etc.), and expression syntax. Returns the workflow JSON + a visual description of every node.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
triggerNoTrigger type hint: 'webhook'|'cron'|'email'|'github'|'manual'|'auto'auto
descriptionYesPlain-English workflow description, e.g. 'When a GitHub issue is labeled urgent, post it to Slack #dev and create a Notion page'
integrationsNoOptional: list of services to include (slack, gmail, github, notion, airtable, etc.)
Behavior4/5

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

With no annotations, the description carries the transparency burden. It clearly states the tool returns workflow JSON plus a visual description of every node, and that it 'knows' nodes/integrations/expression syntax, making its non-executing generator nature evident. It could mention limitations like credential handling or workflow deployment, but the core behavior is disclosed.

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?

Three sentences, front-loaded with the main purpose, and every sentence adds value: what it does, what it knows, and what it returns. No filler or redundancy.

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?

For a 3-parameter generator tool with no output schema, the description covers the input style, tool capabilities, and return format. It is sufficiently complete for an agent to select and invoke it, though it could optionally add caveats about output size or credential/config requirements.

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 the schema already documents all three parameters. The description adds framing by explaining the tool converts a plain-English task description, but it does not add meaningful syntax, relationship, or behavioral detail beyond the schema. 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 uses a specific verb ('converts') and resource ('plain-English task description into a complete, importable n8n workflow JSON'), making the tool's purpose unmistakable. It also distinguishes this tool from the many sibling agents by clearly focusing on n8n workflow generation.

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 when to use it—whenever an n8n workflow needs to be generated from a natural-language task—but it does not explicitly state when not to use it or mention alternatives such as timps_ai_workflow_orchestrator. This is adequate but lacks explicit exclusion guidance.

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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