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dlt-hub

dltHub-AI-workbench

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by dlt-hub

preview_table

Retrieve the first 10 rows of a table from a dlt pipeline. Choose output as markdown or JSONL for quick data inspection.

Instructions

Get the first 10 rows from a table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
output_formatNoOutput format: 'markdown' or 'jsonl'markdown
pipeline_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 states it returns the first 10 rows, but does not disclose whether it is read-only, if authentication is needed, or any side effects. For a data retrieval tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but under-specified. It could be improved by adding context without excessive length.

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?

Given that an output schema exists, the description does not need to explain return values. However, it lacks information about ordering, pagination, or behavior for empty tables. For a simple preview tool, it is minimally adequate but could be more complete.

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

Parameters2/5

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

Schema description coverage is only 33% (output_format has a description). The description does not explain the required parameters 'pipeline_name' and 'table_name'. It adds no additional meaning beyond the minimal 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 clearly states the verb 'Get' and the resource 'first 10 rows from a table'. It distinguishes itself from sibling tools like 'execute_sql_query' which runs arbitrary SQL, and 'get_table_schema' which returns schema, by specifying a preview of data.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention limitations, prerequisites, or scenarios where other tools would be more appropriate.

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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