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Query data table rows

n8n_get_datatable_rows

List rows from a data table with optional JSON filter, full-text search, sorting, and pagination.

Instructions

List rows from a data table with optional filter, search, sorting and pagination. Filter is a JSON string with {type, filters} structure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataTableIdYesData table ID
limitNoMax rows (default 50)
cursorNoPagination cursor
filterNoJSON filter, e.g. {"type":"and","filters":[{"columnName":"status","condition":"eq","value":"active"}]}
sortByNocolumnName:asc or columnName:desc
searchNoFull-text search on string columns

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
nextCursorNo
Behavior2/5

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

No annotations are provided, and the description does not explicitly state that the tool is read-only or non-destructive. While 'List rows' implies a read operation, the agent would benefit from an explicit statement about side effects or permissions. The description adds minimal behavioral context beyond the name.

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 concise: one sentence summarizing functionality and one clarifying the filter format. It is front-loaded with the core purpose and avoids unnecessary detail.

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 that an output schema exists (not shown but indicated), the description does not need to explain return values. The parameters are well-documented in the schema. The description covers the core functionality but lacks usage guidelines and behavioral transparency, which slightly reduces 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?

Schema coverage is 100%, so the schema already describes all parameters. The description adds a brief explanation of the filter JSON structure, which provides some extra clarity. However, it does not elaborate on the meaning of parameters beyond what the schema provides, making it adequate but not exceptional.

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 lists rows from a data table with optional filtering, search, sorting, and pagination. This verb+resource specification clearly distinguishes it from sibling tools that insert, update, or delete rows.

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. It does not specify when not to use it, nor mention any prerequisites or context that would help the agent choose correctly among the many sibling tools.

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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