gateway_resource_policy_get

THE RISK

Low Risk

Why gateway_resource_policy_get needs a policy

The '_get' suffix strongly indicates this is a read-only operation that retrieves an existing resource policy. Even without description text, the naming convention points to data retrieval with no side effects. The blast radius is minimal—reading a policy cannot damage infrastructure or data. Confidence is moderate due to the empty description, but the naming pattern is reliable.

From the tool's definition Tool name contains 'get' which typically indicates a retrieval operation. Description is empty, reducing specificity, but 'gateway_resource_policy_get' suggests fetching/reading a resource policy rather than modifying or deleting it.

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

POLICY

How to control gateway_resource_policy_get

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift 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.

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 Amazon Redshift MCP Server tools →

Read tools on other servers

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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 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 Redshift 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 Redshift 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 Redshift 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 Redshift MCP Server MCP server (awslabs.redshift-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 Redshift MCP Server tool call.

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

CHECK YOUR STACK →