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get_column_summary

Analyze a specific column in your dataset and return a statistical summary. Use for deep dive after viewing all columns.

Instructions

Analyzes a specific column in the dataset and returns a statistical summary. Use this for a deep dive into one column after using get_all_columns_summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
columnYes
data_file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, and the description lacks details on what the statistical summary contains, potential side effects, or cost of execution.

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?

Two sentences are concise but omit necessary details, making it under-informative despite brevity.

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

Completeness2/5

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

Does not describe the output format despite having an output schema; with many sibling tools, more context on when this specific summary is needed is missing.

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

Parameters1/5

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

Schema coverage is 0% and the description adds zero detail about the parameters beyond their names; no explanation of how to specify column or data_file_path.

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 it analyzes a specific column and returns a statistical summary, distinguishing it from get_all_columns_summary by positioning it as a deeper dive.

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 explicit context of when to use ('after using get_all_columns_summary') but does not specify exclusions or alternatives beyond its sibling.

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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