AI agents call get_resource_request_status 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.
This tool appears to query or retrieve status information about a resource request, which is a read operation that retrieves data without side effects. However, confidence is moderate (0.6) because the description is empty, leaving some ambiguity about whether it might trigger status updates or have other side effects. The naming convention strongly suggests a simple status lookup.
From the tool's definition Tool name 'get_resource_request_status' indicates a status retrieval operation with no parameters or description provided. The 'get_' prefix and 'status' suffix are consistent with read-only query semantics.
Documented attack patterns abuse exactly the kind of access get_resource_request_status 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 get_resource_request_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_resource_request_status": {}
}
}get_resource_request_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_resource_request_status. 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 get_resource_request_status: 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.
get_resource_request_status 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 get_resource_request_status 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 get_resource_request_status. 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.
get_resource_request_status 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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805 Awslabs Amazon Sns Sqs tools catalogued and risk-classified — across an index of 43,000+ MCP servers.