create_queue

THE RISK

Medium Risk

Why create_queue needs a policy

The 'create' verb combined with 'queue' indicates data creation/modification. Queues in Redshift context (likely workload management queues) are new resource creation, placing it in Write category. Without destructive or irreversible characteristics evident from the name alone, and no financial implications, Write is the most appropriate classification. Empty description reduces confidence from high to medium.

From the tool's definition Tool name 'create_queue' indicates creation of a queue resource. Description is empty, limiting confidence. Based on naming convention and the server context (Amazon Redshift MCP), this creates a new queue object which is reversible.

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

POLICY

How to control create_queue

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 create_queue:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_queue": {
      "limits": [
        {
          "counter": "create_queue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_queue stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Amazon Redshift MCP Server tools

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All 805 Amazon Redshift MCP Server tools →

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Go deeper

Govern customer-ops agents → PII redaction, approval on external messages, and no-bulk-delete rules on the records agents change.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
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 create_queue

What does the create_queue tool do? +

create_queue. It is categorised as a Write tool in the Amazon Redshift MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_queue? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for create_queue: 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 create_queue? +

create_queue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_queue? +

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

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

create_queue 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 →