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get_all_columns_summary

Returns a compact schema of all columns grouped by type (numeric, categorical, datetime), including unique values for categoricals. Use this first to understand dataset structure before plotting or statistics.

Instructions

Returns a compact schema of ALL columns in one call: column names grouped by type (numeric, categorical, datetime). Categorical columns also show their unique values. Call this FIRST to understand the dataset structure, then call plot or stats tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, but the description discloses it returns a compact schema, implying a read-only operation. No mention of auth or limits, but these are not critical for a schema retrieval 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?

Two sentences, front-loaded with core function, no redundant language.

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?

Covers purpose and usage order, and an output schema exists to detail return values. Missing potential error scenarios or file support details, but adequate for typical use.

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 coverage is 0% and the description adds no details about the 'data_file_path' parameter, such as expected format or examples, which is needed since it is the sole required input.

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 returns a compact schema grouping columns by type and showing unique values for categorical columns, and explicitly differentiates from plotting/stats tools by advising to call this first.

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 guidance to call this tool FIRST to understand structure, but does not address when to use this vs. the sibling 'get_column_summary' which likely focuses on a single column.

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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