Low Risk

gateway_resource_policy_get

gateway_resource_policy_get

How to control gateway_resource_policy_get ↓

What gateway_resource_policy_get does on Amazon Data Processing MCP Server

AI agents call gateway_resource_policy_get to retrieve information from Amazon Data Processing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why gateway_resource_policy_get needs a policy

The '_get' suffix is a strong indicator of a read-only operation that retrieves data about a gateway resource policy. Without evidence of write, delete, or execution capabilities, and given it appears to query policy configuration, this is classified as a Read operation with low severity. The empty description reduces confidence slightly, but the naming pattern is definitive enough to maintain reasonable confidence.

From the tool's definition Tool name 'gateway_resource_policy_get' indicates a retrieval operation (suffix '_get'). The description is empty, but the naming convention strongly suggests querying or retrieving an existing resource policy without modification.

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

How to control gateway_resource_policy_get

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gateway_resource_policy_get": {}
  }
}

gateway_resource_policy_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Data Processing MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about gateway_resource_policy_get

What does the gateway_resource_policy_get tool do? +

gateway_resource_policy_get. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gateway_resource_policy_get? +

Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for gateway_resource_policy_get: 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 Data Processing MCP Server. Nothing to install.

What risk level is gateway_resource_policy_get? +

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

Can I rate-limit gateway_resource_policy_get? +

Yes. Add a rate_limit block to the gateway_resource_policy_get 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 gateway_resource_policy_get completely? +

Set action: deny in the PolicyLayer policy for gateway_resource_policy_get. 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 gateway_resource_policy_get? +

gateway_resource_policy_get is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Data Processing MCP Server tool call.

Start from Amazon Data Processing MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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