Diagnose logical replication lag and identify bottlenecks.
How to control PostgreSQL_diagnose_logical_replication_lag ↓
AI agents call PostgreSQL_diagnose_logical_replication_lag 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 is a diagnostic tool that queries replication lag metrics and identifies performance issues. It retrieves and analyzes PostgreSQL internal state without modifying data, executing arbitrary code, or triggering destructive operations. The action is observational/analytical in nature, making it a Read operation with low severity impact.
From the tool's definition Tool name contains 'diagnose' and description states 'Diagnose logical replication lag and identify bottlenecks' - both indicate data retrieval and analysis with no modification or execution of external operations.
Documented attack patterns abuse exactly the kind of access PostgreSQL_diagnose_logical_replication_lag 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_diagnose_logical_replication_lag:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_diagnose_logical_replication_lag": {}
}
}PostgreSQL_diagnose_logical_replication_lag is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Diagnose logical replication lag and identify bottlenecks. 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_diagnose_logical_replication_lag: 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_diagnose_logical_replication_lag 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_diagnose_logical_replication_lag 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_diagnose_logical_replication_lag. 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_diagnose_logical_replication_lag 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.