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syedtaj7

Kitbag MCP

by syedtaj7

developer_sql_formatter

Format raw SQL statements into readable structured code. Supports MySQL, PostgreSQL, SQLite, PL/SQL, and T-SQL dialects for consistent formatting.

Instructions

Format SQL queries to improve readability. Supports dialects like sql, mysql, postgresql, sqlite, plsql.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesThe raw SQL statement to format.
dialectNoThe SQL dialect/language family to format for.sql
Behavior2/5

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

With no annotations, the description carries full burden. It only states 'format' implying a transformation, but does not disclose error handling, behavior for invalid SQL, or what happens for unsupported dialects. Return format is not mentioned.

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 concise sentences with no extraneous information. Purpose and key capabilities are front-loaded.

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 two simple parameters and no output schema, the description covers the core functionality but fails to state the return format or any side effects. Adequate for a simple tool but could be improved.

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 adequate descriptions for both parameters. The description adds the list of supported dialects, which is partially redundant with the schema's enum. Value added is minimal, meeting baseline.

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 'format' and the resource 'SQL queries', and the mention of dialects differentiates it from sibling tools like developer_json_formatter or developer_code_detector.

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 or when to avoid it. The description simply states what it does without contextual usage hints.

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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