Analyze vacuum efficiency and recommend vacuum strategies.
AI agents call analyze_vacuum_efficiency to retrieve information from Postgres without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis and generates recommendations based on existing vacuum metrics. It retrieves performance data about PostgreSQL's VACUUM operation and provides strategic advice, but does not execute VACUUM commands, modify configurations, or alter data. The sibling tools (analyze_buffer_utilization, analyze_query_plans, etc.) all follow a pattern of read-only diagnostic analysis.
From the tool's definition Tool name 'analyze_vacuum_efficiency' and description 'Analyze vacuum efficiency and recommend vacuum strategies' indicate a diagnostic and advisory function that retrieves and analyzes data about vacuum operations without modifying database state.
Documented attack patterns abuse exactly the kind of access analyze_vacuum_efficiency gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_vacuum_efficiency:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_vacuum_efficiency": {}
}
}analyze_vacuum_efficiency is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze vacuum efficiency and recommend vacuum strategies. It is categorised as a Read tool in the Postgres MCP Server, which means it retrieves data without modifying state.
Register the Postgres MCP server in PolicyLayer and add a rule for analyze_vacuum_efficiency: 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. Nothing to install.
analyze_vacuum_efficiency is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_vacuum_efficiency 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.
Set action: deny in the PolicyLayer policy for analyze_vacuum_efficiency. 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.
analyze_vacuum_efficiency is provided by the Postgres MCP server (mukul975/postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Postgres, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
239 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.