create_agent_runtime_endpoint

THE RISK

Medium Risk

Why create_agent_runtime_endpoint needs a policy

The 'create' prefix strongly suggests a Write operation that establishes a new resource. However, confidence is moderate (0.45) due to the missing description and unclear relationship to the stated server purpose (Amazon Translate for text translation and batch processing). The tool name does not align with Translate's documented functionality, suggesting it may be misclassified or belong to a different service.

From the tool's definition Tool name 'create_agent_runtime_endpoint' suggests creating a runtime resource or endpoint. The description is empty, providing no direct evidence of function.

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

POLICY

How to control create_agent_runtime_endpoint

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

policy.json

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

create_agent_runtime_endpoint 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 Translate 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

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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_agent_runtime_endpoint

What does the create_agent_runtime_endpoint tool do? +

create_agent_runtime_endpoint. It is categorised as a Write tool in the Amazon Translate 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_endpoint? +

Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for create_agent_runtime_endpoint: 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 Translate MCP Server. Nothing to install.

What risk level is create_agent_runtime_endpoint? +

create_agent_runtime_endpoint 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_endpoint? +

Yes. Add a rate_limit block to the create_agent_runtime_endpoint 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_endpoint completely? +

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

create_agent_runtime_endpoint is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-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 Translate MCP Server tool call.

Start from Amazon Translate 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 →