Analyze partitioned tables and their maintenance status.
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.
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:
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:
{
"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.
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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.
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.
PostgreSQL_partition_maintenance 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_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.
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.
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.
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.