apply_yaml

THE RISK

Medium Risk

Why apply_yaml needs a policy

The name 'apply_yaml' indicates this tool modifies configuration or infrastructure state by applying YAML definitions—a Write operation. However, confidence is reduced to 0.6 due to the empty description, which prevents confirmation of whether this performs benign configuration updates (Write) or potentially destructive operations (Destructive).

From the tool's definition Tool named 'apply_yaml' with empty description on Amazon Translate MCP Server. The name 'apply' strongly suggests configuration or state changes typical of YAML-based infrastructure/application modifications.

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

POLICY

How to control apply_yaml

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 apply_yaml:

policy.json

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

apply_yaml 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 apply_yaml

What does the apply_yaml tool do? +

apply_yaml. 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 apply_yaml? +

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

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

Can I rate-limit apply_yaml? +

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

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

apply_yaml 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 →