AI agents call analyze_metric to retrieve information from AWS Labs postgres MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without a description, we infer from the name that 'analyze_metric' retrieves and examines metric data rather than modifying, deleting, or executing code. This aligns with the Read category (queries data with no side effects). Severity is medium because analyzing metrics could expose sensitive operational or performance data, which could inform further attacks.
From the tool's definition Tool name is 'analyze_metric' with empty description. The name suggests querying or analyzing metrics (a read operation), consistent with AWS monitoring/observability patterns.
Documented attack patterns abuse exactly the kind of access analyze_metric gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs postgres MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_metric:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_metric": {}
}
}analyze_metric is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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analyze_metric. It is categorised as a Read tool in the AWS Labs postgres MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS Labs postgres MCP Server MCP server in PolicyLayer and add a rule for analyze_metric: 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 AWS Labs postgres MCP Server. Nothing to install.
analyze_metric 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_metric 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_metric. 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_metric is provided by the AWS Labs postgres MCP Server MCP server (awslabs.postgres-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs postgres MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 AWS Labs postgres MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.