Analyze autovacuum efficiency and provide tuning recommendations.
AI agents call PostgreSQL_analyze_autovacuum_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 reads database statistics and configuration to analyze autovacuum performance and suggest optimizations. It produces informational output but does not execute any DDL, DML, or system commands. No data is modified, deleted, or irreversibly changed. The blast radius of misuse is minimal—an agent cannot cause harm by requesting autovacuum analysis.
From the tool's definition Tool name and description indicate analysis of autovacuum efficiency and tuning recommendations. The verb 'analyze' combined with 'provide recommendations' describes a diagnostic query operation that retrieves and reports on existing data without modifying or…
Documented attack patterns abuse exactly the kind of access PostgreSQL_analyze_autovacuum_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 PostgreSQL_analyze_autovacuum_efficiency:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_analyze_autovacuum_efficiency": {}
}
}PostgreSQL_analyze_autovacuum_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 autovacuum efficiency and provide tuning recommendations. 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 PostgreSQL_analyze_autovacuum_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.
PostgreSQL_analyze_autovacuum_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 PostgreSQL_analyze_autovacuum_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 PostgreSQL_analyze_autovacuum_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.
PostgreSQL_analyze_autovacuum_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.