List all inline policies for an IAM user.
AI agents call list_user_policies to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enumerates existing IAM policy information for an AWS user. It performs a read-only query operation that has no side effects, does not modify, create, or delete any resources, and does not execute code or move funds. While the data returned could be sensitive (policy details), the tool itself is a benign read operation.
From the tool's definition Tool name is 'list_user_policies' and description states 'List all inline policies for an IAM user' — both indicate a query/retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access list_user_policies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_user_policies:
{
"version": "1",
"default": "deny",
"tools": {
"list_user_policies": {}
}
} list_user_policies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all inline policies for an IAM user. It is categorised as a Read tool in the Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for list_user_policies: 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 Prometheus MCP Server. Nothing to install.
list_user_policies 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 list_user_policies 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 list_user_policies. 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.
list_user_policies is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus MCP Server, 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.
805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.