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cano721

@cano721/mysql-mcp-server

by cano721

analyze_query

Analyze SQL query performance and statistics using ANALYZE to identify execution plans and optimize database queries.

Instructions

Analyze query performance and statistics using ANALYZE. 한글: 쿼리 성능 분석, 쿼리 통계, ANALYZE

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSQL query to analyze (SELECT, UPDATE, DELETE, INSERT, REPLACE statements)
databaseNoDatabase name (optional, uses default if not specified)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states it uses ANALYZE but does not disclose whether the command modifies data, requires permissions, or is read-only. For a tool that updates table statistics, this omission is significant.

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 to the point, but includes redundant Korean text that does not add value for an English-speaking agent. Still, it is appropriately sized and front-loaded with the core purpose.

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?

For a tool with no output schema and limited parameters, the description should explain what ANALYZE does, its side effects, and how it differs from explain_query. It only provides minimal context, leaving gaps in understanding.

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 description coverage is 100%, so baseline is 3. The description adds no additional meaning beyond what the schema already provides for the two parameters.

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 analyzes query performance and statistics using ANALYZE, with a specific verb ('Analyze') and resource ('query performance and statistics'). It distinguishes from siblings like execute_query and explain_query by mentioning ANALYZE explicitly.

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 on when to use this tool versus alternatives like explain_query. The description does not provide context about when ANALYZE is appropriate or when not to use it, leaving the agent without decision support.

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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