AI agents call list_agent_runtime_endpoints to retrieve information from Awslabs Amazon Sns Sqs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'list_' prefix is a standard indicator of query/retrieval operations that do not modify state. Even without a description, listing endpoints is a read operation with minimal blast radius if misused by an AI agent—it would expose information about available endpoints but cannot delete, modify, or execute operations. Confidence is slightly reduced due to the empty description, but the naming convention is reliable.
From the tool's definition Tool name 'list_agent_runtime_endpoints' contains the verb 'list', which by convention retrieves data without modification. The empty description prevents fuller assessment, but the naming pattern strongly suggests a read operation that enumerates endpoints.
Documented attack patterns abuse exactly the kind of access list_agent_runtime_endpoints gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Awslabs Amazon Sns Sqs, and nothing reaches the server without passing your rules. This is the rule we recommend for list_agent_runtime_endpoints:
{
"version": "1",
"default": "deny",
"tools": {
"list_agent_runtime_endpoints": {}
}
}list_agent_runtime_endpoints is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_agent_runtime_endpoints. It is categorised as a Read tool in the Awslabs Amazon Sns Sqs MCP Server, which means it retrieves data without modifying state.
Register the Awslabs Amazon Sns Sqs MCP server in PolicyLayer and add a rule for list_agent_runtime_endpoints: 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 Awslabs Amazon Sns Sqs. Nothing to install.
list_agent_runtime_endpoints 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_agent_runtime_endpoints 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_agent_runtime_endpoints. 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_agent_runtime_endpoints is provided by the Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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