Medium Risk

create_agent_runtime

create_agent_runtime

How to control create_agent_runtime ↓

What create_agent_runtime does on Amazon Redshift MCP Server

AI agents use create_agent_runtime to create or update resources in Amazon Redshift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Redshift MCP Server environment.

Medium Risk

Why create_agent_runtime needs a policy

The 'create_' prefix strongly implies creating a new resource (Write category). 'agent_runtime' suggests provisioning a runtime environment for an agent, which is a write/create operation. However, the empty description lowers confidence. Given the server context (Amazon Redshift MCP), this may relate to creating an agent runtime environment.

From the tool's definition Tool name: create_agent_runtime — 'create' prefix suggests resource creation; description is empty and uninformative.

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

How to control create_agent_runtime

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_agent_runtime:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_agent_runtime": {
      "limits": [
        {
          "counter": "create_agent_runtime_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_agent_runtime 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.

  1. Create a free account and register Amazon Redshift 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about create_agent_runtime

What does the create_agent_runtime tool do? +

create_agent_runtime. 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_agent_runtime? +

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

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

Can I rate-limit create_agent_runtime? +

Yes. Add a rate_limit block to the create_agent_runtime 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_agent_runtime completely? +

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

create_agent_runtime 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.

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

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