Skip to main content
Glama

List recent n8n executions

execution_list
Read-onlyIdempotent

List recent n8n workflow executions. Filter by workflow ID, status (success, error, waiting), and limit results.

Instructions

List recent executions from a live n8n instance (requires N8N_API_URL + N8N_API_KEY). Filter by workflowId, status (success|error|waiting), limit. Pass includeData: true to get the full execution body (large) — pair with execution_explain to diagnose a specific failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowIdNoFilter by workflow ID.
statusNoFilter by status: success | error | waiting.
limitNoPage size (n8n default: 100, max: 250).
includeDataNoInclude full execution data (large). Default false — pair with execution_explain.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
executionsYesEither trimmed summaries (default) or full execution bodies (includeData=true).
countYesNumber of executions returned.
Behavior4/5

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

Annotations already mark it as read-only and idempotent; the description adds that it requires API credentials and that includeData returns large data, which is critical behavioral context beyond annotations.

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 sentences, front-loaded with purpose and prerequisites, no redundant information. Every sentence earns its place.

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 four parameters, annotations, and an output schema, the description covers prerequisites, filters, and special parameter usage, and even suggests a sibling tool pairing, making it fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, the description adds value by explaining limit as page size, status enum values, and includeData's association with execution_explain, enhancing understanding beyond the schema.

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 ('List') and resource ('executions'), and explicitly mentions the live n8n instance and API requirements, clearly distinguishing this tool from siblings like execution_explain.

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?

It explains prerequisites (API URL and key), available filters, and the use of includeData paired with execution_explain. While it doesn't explicitly state when not to use, the context is clear and provides good guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/actions-marketplace-validations/AutomateLab-tech_n8n-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server