Assess the performance impact of triggers on table operations.
How to control PostgreSQL_assess_trigger_performance_impact ↓
AI agents call PostgreSQL_assess_trigger_performance_impact 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.
The tool assesses and analyzes trigger performance impact, which is a read/diagnostic operation. It queries system catalogs and performance statistics to evaluate triggers rather than modifying or executing anything. Consistent with sibling tools like 'analyze_trigger_performance' and 'analyze_query_plans' which are all diagnostic read tools.
From the tool's definition 'Assess the performance impact of triggers on table operations' — this is a diagnostic/analysis operation that reads performance metrics
Documented attack patterns abuse exactly the kind of access PostgreSQL_assess_trigger_performance_impact 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_assess_trigger_performance_impact:
{
"version": "1",
"default": "deny",
"tools": {
"PostgreSQL_assess_trigger_performance_impact": {}
}
} PostgreSQL_assess_trigger_performance_impact is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Assess the performance impact of triggers on table operations. 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_assess_trigger_performance_impact: 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_assess_trigger_performance_impact 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_assess_trigger_performance_impact 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_assess_trigger_performance_impact. 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_assess_trigger_performance_impact 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.