Low Risk

PostgreSQL_partition_maintenance

Analyze partitioned tables and their maintenance status.

How to control PostgreSQL_partition_maintenance ↓

What PostgreSQL_partition_maintenance does on Postgres

AI agents call PostgreSQL_partition_maintenance 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 PostgreSQL_partition_maintenance needs a policy

This tool performs analysis and monitoring of PostgreSQL partitioned tables without modifying data or structure. It falls squarely into the Read category: it queries and retrieves diagnostic information about partition status and maintenance, with no side effects, no code execution, and no data modification. Given the low blast radius of an AI misusing a read-only diagnostic tool, severity is low.

From the tool's definition Tool name and description indicate 'Analyze partitioned tables and their maintenance status' — a read-only operation that retrieves and inspects metadata and diagnostic information about table partitions.

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

How to control PostgreSQL_partition_maintenance

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_partition_maintenance:

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

PostgreSQL_partition_maintenance 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about PostgreSQL_partition_maintenance

What does the PostgreSQL_partition_maintenance tool do? +

Analyze partitioned tables and their maintenance status. 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 PostgreSQL_partition_maintenance? +

Register the Postgres MCP server in PolicyLayer and add a rule for PostgreSQL_partition_maintenance: 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 PostgreSQL_partition_maintenance? +

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

Can I rate-limit PostgreSQL_partition_maintenance? +

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

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

PostgreSQL_partition_maintenance 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.

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.