Detect triggers with long average execution times that may impact performance.
AI agents call PostgreSQL_long_execution_triggers 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 retrieves and analyzes performance metrics about existing database triggers. It performs no modifications, executions, deletions, or financial operations. It is a diagnostic/monitoring read operation that helps identify performance issues but does not execute or change trigger behavior.
From the tool's definition Tool detects/identifies triggers with long execution times for monitoring purposes. Description uses 'detect' and 'may impact performance' indicating diagnostic analysis rather than modification.
Documented attack patterns abuse exactly the kind of access PostgreSQL_long_execution_triggers 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_long_execution_triggers:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_long_execution_triggers": {}
}
}PostgreSQL_long_execution_triggers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Detect triggers with long average execution times that may impact performance. 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_long_execution_triggers: 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_long_execution_triggers 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_long_execution_triggers 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_long_execution_triggers. 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_long_execution_triggers 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.