batch-stop-update-action

THE RISK

High Risk

Why batch-stop-update-action needs a policy

The verb 'stop' combined with 'action' on batch operations suggests this tool triggers an external operation that halts or cancels running processes in SageMaker (e.g., training jobs, batch transforms). This is an Execute category action because it triggers external effects that depend on which batch operation is targeted.

From the tool's definition Tool name 'batch-stop-update-action' indicates it performs an action (stop/cancel) on batch operations, which are typically running processes or jobs.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access batch-stop-update-action gives an agent:

POLICY

How to control batch-stop-update-action

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon SageMaker AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for batch-stop-update-action:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "batch-stop-update-action": {
      "limits": [
        {
          "counter": "batch-stop-update-action_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

batch-stop-update-action stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Amazon SageMaker AI 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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High-risk tools in Amazon SageMaker AI MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about batch-stop-update-action

What does the batch-stop-update-action tool do? +

batch-stop-update-action. It is categorised as a Execute tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on batch-stop-update-action? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for batch-stop-update-action: 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 SageMaker AI MCP Server. Nothing to install.

What risk level is batch-stop-update-action? +

batch-stop-update-action is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit batch-stop-update-action? +

Yes. Add a rate_limit block to the batch-stop-update-action 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 batch-stop-update-action completely? +

Set action: deny in the PolicyLayer policy for batch-stop-update-action. 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 batch-stop-update-action? +

batch-stop-update-action is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-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 SageMaker AI MCP Server tool call.

Start from Amazon SageMaker AI 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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