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Create data table

n8n_create_datatable

Create a data table with columns of specified types: string, number, boolean, date, or json.

Instructions

Create a data table with typed columns (string, number, boolean, date, json).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesTable name
columnsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states that the tool creates a data table with typed columns, but does not disclose side effects, authentication requirements, permissions, or any potential destructive actions. For a creation tool, more behavioral context is needed.

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 a single sentence that is concise and front-loaded with the essential purpose. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema (not shown), but the description does not mention return values or what happens after creation. Given it is a create tool, the description is adequate but incomplete regarding usage context and behavior beyond creation.

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 50%, with descriptions for 'name' ('Table name') and an implicit description through the schema structure for 'columns'. The description adds context by naming the column types, which reinforces the enum values. Overall, the description adds some value beyond the schema but does not compensate fully for the moderate 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 verb 'Create', the resource 'data table', and specifies that it includes typed columns with the allowed types (string, number, boolean, date, json). This distinguishes it clearly from sibling create tools like create_credential or create_workflow.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, limitations, or exclusions. It does not mention when not to use it, leaving the agent without contextual decision support.

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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