This record as markdown: /tools/aws/get-resource-request-status.md
What get_resource_request_status does on AWS
AI agents call get_resource_request_status to retrieve information from AWS without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_resource_request_status is rated Low
The name indicates retrieval of status about a resource request, consistent with a Read operation (no side effects, purely informational query). With empty description, confidence is moderate. Sibling tools like audit_service_operations and audit_services confirm this is an AWS audit/monitoring context where status checks are typical read-only operations. Severity is low as status queries have minimal blast radius.
From the tool's definition Tool name 'get_resource_request_status' suggests a query or lookup operation returning status information. Description is empty, limiting direct evidence.
Attacks that exploit this kind of access
The rule that runs get_resource_request_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_resource_request_status, this is the rule to start with:
get_resource_request_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every get_resource_request_status call is checked against it from then on.
Questions about get_resource_request_status
get_resource_request_status is a read tool on the AWS MCP server. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS 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 AWS. 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 AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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