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get_data_summary

Summarizes any table in the database, returning key insights and a quick overview of the data.

Instructions

Get a comprehensive summary of the table data.

Args: table_name: Name of the table to summarize

Returns: Quick overview with key insights about the data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_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 must fully disclose behavioral traits. It does not state that the tool is read-only, what side effects exist (likely none), or authorization requirements. The phrase 'comprehensive summary' implies data access but lacks clarity on performance or limitations.

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

Conciseness4/5

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

The description is short and front-loaded with the purpose. The docstring style is clean, and every line serves a purpose (purpose, args, returns). It could be slightly more verbose on specifics but remains efficient.

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?

Given the tool's complexity (summarizing data) and the existence of an output schema (not shown), the description should explain the nature of the summary (e.g., row count, columns, missing values). It only promises 'Quick overview with key insights', which is insufficient for accurate selection among sibling tools like analyze_missing_data or get_column_stats.

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?

The description includes a docstring for the single parameter 'table_name' as 'Name of the table to summarize', but this adds no meaning beyond what the schema's title already conveys. Schema description coverage is 0%, and the description fails to provide format constraints, examples, or context for the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get a comprehensive summary of the table data', which is a clear verb+resource pair. However, it fails to specify what 'comprehensive summary' entails, making it ambiguous compared to sibling tools like get_column_stats or get_table_info. It distinguishes itself but lacks concrete details.

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

Usage Guidelines1/5

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 (e.g., get_column_stats, get_database_schema). The description does not mention prerequisites, exclusions, or typical scenarios, leaving the agent without context for decision-making.

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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