get_resource_request_status

THE RISK

Low Risk

Why get_resource_request_status needs a policy

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.

Documented attack patterns abuse exactly the kind of access get_resource_request_status gives an agent:

POLICY

How to control get_resource_request_status

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resource_request_status:

policy.json

{
  "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.

Create a free account and register AWS — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about get_resource_request_status

What does the get_resource_request_status tool do? +

get_resource_request_status. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_resource_request_status? +

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.

What risk level is get_resource_request_status? +

get_resource_request_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_resource_request_status? +

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.

How do I block get_resource_request_status completely? +

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.

What MCP server provides get_resource_request_status? +

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.

Enforce policy on every AWS tool call.

Start from AWS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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