Skip to main content
Glama
chenkumi

easy-mysql-mcp

by chenkumi

explain_query

Analyze MySQL query execution plans to identify performance bottlenecks and optimize slow queries using the EXPLAIN command.

Instructions

Run EXPLAIN on a SQL query to analyze its execution plan and performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesThe SQL query to explain.

Implementation Reference

  • src/index.ts:49-63 (registration)
    Registration of the 'explain_query' tool via server.registerTool(), including its schema (input: sql string) and handler.
    server.registerTool(
      'explain_query',
      {
        description: 'Run EXPLAIN on a SQL query to analyze its execution plan and performance.',
        inputSchema: z.object({
          sql: z.string().describe('The SQL query to explain.'),
        }),
      },
      async ({ sql }) => {
        const results = await db.query(`EXPLAIN ${sql}`);
        return {
          content: [{ type: 'text', text: JSON.stringify(results, null, 2) }],
        };
      }
    );
  • The async handler that executes the EXPLAIN logic: it calls db.query() with 'EXPLAIN ${sql}' and returns the results as JSON text.
    async ({ sql }) => {
      const results = await db.query(`EXPLAIN ${sql}`);
      return {
        content: [{ type: 'text', text: JSON.stringify(results, null, 2) }],
      };
    }
  • Input schema for 'explain_query' using Zod: requires a single 'sql' string parameter describing the query to explain.
    {
      description: 'Run EXPLAIN on a SQL query to analyze its execution plan and performance.',
      inputSchema: z.object({
        sql: z.string().describe('The SQL query to explain.'),
      }),
  • The db.query() helper function used by the explain_query handler to execute the EXPLAIN SQL against MySQL.
    export async function query(sql: string, params?: any[]) {
      const [rows] = await pool.query(sql, params);
      return rows;
    }
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the action as 'analyze execution plan' which implies read-only, but does not explicitly state it is non-destructive or disclose any behavioral traits like side effects or auth requirements. Adequate but lacks explicitness.

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?

The description is a single sentence that clearly states the action and purpose. It is front-loaded and contains no unnecessary words.

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 the tool's simplicity (one parameter, no output schema), the description is mostly complete. However, it could mention that the output is an execution plan and that it is a read-only operation. Without output schema, a hint about return value would improve completeness.

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% and the description's mention of 'SQL query' mirrors the schema parameter description. The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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 action ('Run EXPLAIN'), the resource ('SQL query'), and the purpose ('analyze its execution plan and performance'). It distinguishes from siblings like mysql_execute (which runs the query) and mysql_query (returns results).

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for performance analysis but does not explicitly state when to use this tool over alternatives or provide when-not-to-use guidance. No comparison to sibling tools is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chenkumi/easy-mysql-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server