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spences10

mcp-n8n-builder

list_available_nodes

Identify valid node types in n8n workflows to prevent errors. Filter by category and control output verbosity to streamline workflow creation and updates.

Instructions

Lists all available nodes in the n8n instance. Use this tool BEFORE creating or updating workflows to ensure you only use valid node types. This helps prevent errors caused by using node types that do not exist in the current n8n instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoFilter nodes by category (e.g., "n8n-nodes-base")
verbosityNoOutput verbosity level (concise, summary, or full). Default is concise which preserves context window space. Use summary for just category counts, or full for complete node details including descriptions.
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively communicates that this is a read-only operation (implied by 'Lists') and adds practical context about error prevention, but does not detail aspects like rate limits, authentication needs, or pagination behavior, which are relevant for a list tool.

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?

The description is front-loaded with the core purpose in the first sentence, followed by practical usage guidance, with no redundant or verbose language. Every sentence adds value, making it efficient and well-structured for quick comprehension.

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?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is largely complete for a read-only list operation, covering purpose, usage context, and error prevention. However, it lacks details on output format or behavioral traits like pagination, which could enhance completeness.

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?

The schema description coverage is 100%, so the schema already fully documents both parameters (category and verbosity). The description does not add any parameter-specific information beyond what the schema provides, such as examples or usage tips, meeting the baseline for high schema coverage.

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 specific action ('Lists all available nodes') and resource ('in the n8n instance'), with explicit differentiation from siblings like create_workflow or update_workflow by focusing on node discovery rather than workflow operations. It goes beyond the tool name by explaining the scope and purpose.

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?

The description provides explicit guidance on when to use this tool ('BEFORE creating or updating workflows') and why ('to ensure you only use valid node types... prevent errors'), with clear context for its application relative to other workflow-related tools. It effectively distinguishes its role in the toolset.

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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