explain_query

Explains the execution plan for a SQL query, showing how the database will execute it and provides detailed cost estimates.

Server Postgres MCP Pro luislopezsanchez/postgres-mcp-server
Category Read
Risk class Low
Parameters 00 required

What explain_query does on Postgres MCP Pro

AI agents call explain_query to retrieve information from Postgres MCP Pro without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why explain_query needs a policy

The tool's purpose is to analyze and explain how a query *would* execute, not to execute it or modify any data. It retrieves metadata about query optimization and cost information. This is a safe introspection capability with no side effects, fitting the 'Read' category of retrieving/querying information.

From the tool's definition Tool description states it 'Explains the execution plan for a SQL query' and 'provides detailed cost estimates' — these are read-only operations that retrieve and display query plan metadata without modifying or executing the query against actual data.

Questions about explain_query

What does the explain_query tool do? +

Explains the execution plan for a SQL query, showing how the database will execute it and provides detailed cost estimates. It is categorised as a Read tool in the Postgres MCP Pro MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_query? +

Register the Postgres MCP Pro MCP server in PolicyLayer and add a rule for explain_query: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Postgres MCP Pro. Nothing to install.

What risk level is explain_query? +

explain_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit explain_query? +

Yes. Add a rate_limit block to the explain_query rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block explain_query completely? +

Set action: deny in the PolicyLayer policy for explain_query. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides explain_query? +

explain_query is provided by the Postgres MCP Pro MCP server (luislopezsanchez/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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