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format_sql

Format and prettify SQL queries for better readability. Supports multiple SQL dialects including MySQL, PostgreSQL, SQLite, and more.

Instructions

Format and prettify SQL queries

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesSQL query to format
dialectNoSQL dialect to use for formatting (e.g., 'sql', 'mysql', 'postgresql', 'sqlite', 'mariadb', 'db2', 'plsql', 'n1ql', 'redshift', 'spark', 'tsql', 'trino', 'bigquery'). Default is 'sql'.
Behavior2/5

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

The description does not disclose whether the tool operates locally or sends queries to an external service, nor does it clarify the implication of readOnlyHint=false. Beyond formatting, no behavioral traits are described.

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 a single, clear sentence with no redundancy. It is concise, though slightly under-informative for a high score.

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?

For a simple formatting tool, the description is adequate but fails to mention the output format (e.g., returns formatted SQL string). It covers the basic purpose but is minimally complete.

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%, with both parameters (sql, dialect) already documented. The description adds no additional meaning beyond the schema, resulting in a baseline score.

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 formats and prettifies SQL queries, which is a specific verb+resource combination that distinguishes it from sibling tools like format_json or format_html.

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 over other format tools or alternatives, leaving the agent without context for selection.

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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