Low Risk

monitor_autovacuum_progress

Monitor currently running autovacuum operations and their progress.

How to control monitor_autovacuum_progress ↓

What monitor_autovacuum_progress does on Postgres

AI agents call monitor_autovacuum_progress 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.

Low Risk

Why monitor_autovacuum_progress needs a policy

This tool retrieves and displays information about ongoing autovacuum processes without modifying data or triggering actions. Monitoring operations are inherently non-destructive queries that observe system behavior. The blast radius of misuse is minimal—an AI agent cannot cause data loss, corruption, or unauthorized modifications through read-only monitoring.

From the tool's definition Tool name 'monitor_autovacuum_progress' and description 'Monitor currently running autovacuum operations and their progress' indicate read-only observation of system state with no modifications.

Documented attack patterns abuse exactly the kind of access monitor_autovacuum_progress gives an agent:

How to control monitor_autovacuum_progress

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 monitor_autovacuum_progress:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "monitor_autovacuum_progress": {}
  }
}

monitor_autovacuum_progress is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Postgres — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about monitor_autovacuum_progress

What does the monitor_autovacuum_progress tool do? +

Monitor currently running autovacuum operations and their progress. It is categorised as a Read tool in the Postgres MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on monitor_autovacuum_progress? +

Register the Postgres MCP server in PolicyLayer and add a rule for monitor_autovacuum_progress: 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.

What risk level is monitor_autovacuum_progress? +

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

Can I rate-limit monitor_autovacuum_progress? +

Yes. Add a rate_limit block to the monitor_autovacuum_progress 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 monitor_autovacuum_progress completely? +

Set action: deny in the PolicyLayer policy for monitor_autovacuum_progress. 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 monitor_autovacuum_progress? +

monitor_autovacuum_progress 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.

Enforce policy on every Postgres tool call.

Start from Postgres, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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239 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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