Analyze shared buffer utilization patterns by relation.
AI agents call analyze_buffer_utilization 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/monitoring tool that queries PostgreSQL internal buffer statistics to report usage patterns. It performs read-only inspection of performance metrics, similar to other sibling tools like 'analyze_query_plans' and 'analyze_vacuum_efficiency' which are clearly analytical.
From the tool's definition Tool name 'analyze_buffer_utilization' and description 'Analyze shared buffer utilization patterns by relation' indicate data retrieval and analysis only.
Documented attack patterns abuse exactly the kind of access analyze_buffer_utilization 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_buffer_utilization:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_buffer_utilization": {}
}
}analyze_buffer_utilization is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze shared buffer utilization patterns by relation. 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_buffer_utilization: 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_buffer_utilization 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_buffer_utilization 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_buffer_utilization. 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_buffer_utilization 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.