AI agents call policy_list to retrieve information from Amazon Location Service MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Policy listing is a read operation that retrieves policy data without side effects. Severity is medium rather than low because policy information disclosure could inform further attacks, but it has no direct destructive or financial impact. Confidence is lowered from 0.85 to 0.75 due to empty description, which prevents confirmation of the exact scope and parameters.
From the tool's definition Tool name is 'policy_list' which semantically suggests listing/querying policies without modification. The tool appears to be part of AWS Location Service MCP server.
Documented attack patterns abuse exactly the kind of access policy_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for policy_list:
{
"version": "1",
"default": "deny",
"tools": {
"policy_list": {}
}
} policy_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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policy_list. It is categorised as a Read tool in the Amazon Location Service MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for policy_list: 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 Amazon Location Service MCP Server. Nothing to install.
policy_list 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 policy_list 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 policy_list. 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.
policy_list is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Location Service 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 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.