Skip to main content
Glama

get_node

Read-onlyIdempotent

Retrieve n8n node information with configurable detail levels and modes for documentation, property search, version comparison, and more.

Instructions

Get node info with progressive detail levels and multiple modes. Detail: minimal (~200 tokens), standard (~1-2K, default), full (~3-8K). Modes: info (default), docs (markdown documentation), search_properties (find properties), versions/compare/breaking/migrations (version info). Use format='docs' for readable documentation, mode='search_properties' with propertyQuery for finding specific fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeTypeYesFull node type: "nodes-base.httpRequest" or "nodes-langchain.agent"
detailNoInformation detail level. standard=essential properties (recommended), full=everythingstandard
modeNoOperation mode. info=node schema, docs=readable markdown documentation, search_properties=find specific properties, versions/compare/breaking/migrations=version infoinfo
includeTypeInfoNoInclude type structure metadata (type category, JS type, validation rules). Only applies to mode=info. Adds ~80-120 tokens per property.
includeExamplesNoInclude real-world configuration examples from templates. Only applies to mode=info with detail=standard. Adds ~200-400 tokens per example.
fromVersionNoSource version for compare/breaking/migrations modes (e.g., "1.0")
toVersionNoTarget version for compare mode (e.g., "2.0"). Defaults to latest if omitted.
propertyQueryNoFor mode=search_properties: search term to find properties (e.g., "auth", "header", "body")
maxPropertyResultsNoFor mode=search_properties: max results (default 20)
Behavior5/5

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

Beyond annotations (readOnlyHint, idempotentHint), it discloses token estimates per detail level and mode behaviors, offering excellent transparency.

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?

Extremely concise, front-loaded with key info, every sentence adds value.

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?

Fully covers all modes, detail levels, and token sizes; sufficient for an agent to operate correctly despite no output schema.

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 description adds minimal additional meaning beyond defaults and recommendations like 'standard recommended'.

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 retrieves node information with progressive detail levels and multiple modes, distinguishing it from siblings like get_template and search_nodes.

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?

Provides specific usage guidance for modes (e.g., 'Use format='docs' for readable documentation'), but does not explicitly state when not to use this tool versus siblings.

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/czlonkowski/n8n-mcp'

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