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automatelab-n8n-mcp

List workflows on a live n8n instance

workflow.list
Read-onlyIdempotent

List workflows from your n8n instance with filters for name, tags, and active status. Use this to see available workflows or before retrieving details.

Instructions

List workflows from a live n8n instance (requires N8N_API_URL + N8N_API_KEY env vars). Returns id, name, active, nodeCount, updatedAt, tags. Filter by active, tags, name. Use this when the user asks 'what workflows do I have?' or before workflow.get.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFilter by exact workflow name.
tagsNoComma-separated tag names to filter by.
limitNoPage size (n8n default: 100, max: 250).
activeNoFilter by active status. Omit to return both.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of workflows returned.
workflowsYesSummary of each workflow (id, name, active, nodeCount, ...).
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=False, so the tool's safety is clear. The description adds the requirement of N8N_API_URL and N8N_API_KEY env vars, which is valuable behavioral context.

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, front-loaded with purpose, no unnecessary words.

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?

Given the simple tool, strong annotations, full schema coverage, and existence of output schema, the description covers prerequisites, filters, and usage context completely.

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 is 3. The description merely repeats parameter names (active, tags, name) without adding new meaning beyond the schema's descriptions.

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 it lists workflows from a live n8n instance, specifies return fields (id, name, active, nodeCount, updatedAt, tags), and mentions filters. This distinguishes it from siblings like workflow.get (single workflow).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this when the user asks 'what workflows do I have?' or before workflow.get,' providing clear context and best-practice usage. Also specifies required environment variables.

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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