Analyze trigger definitions and potential performance impacts.
AI agents call analyze_trigger_performance 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 examines trigger definitions and their performance characteristics to provide diagnostic insights. It performs no modifications to database state, executes no arbitrary code, and deletes nothing. It is purely investigative/analytical in nature, consistent with sibling tools like 'analyze_buffer_utilization' and 'analyze_query_plans' which are also Read category tools for database diagnostics.
From the tool's definition Tool name 'analyze_trigger_performance' and description 'Analyze trigger definitions and potential performance impacts' indicate data retrieval and analysis only.
Documented attack patterns abuse exactly the kind of access analyze_trigger_performance 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 analyze_trigger_performance:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_trigger_performance": {}
}
}analyze_trigger_performance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze trigger definitions and potential performance impacts. 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 analyze_trigger_performance: 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.
analyze_trigger_performance 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 analyze_trigger_performance 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 analyze_trigger_performance. 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.
analyze_trigger_performance 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.