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batch-stop-update-action

batch-stop-update-action

How to control batch-stop-update-action ↓

What batch-stop-update-action does on AWS Serverless MCP Server

AI agents invoke batch-stop-update-action to trigger actions in AWS Serverless MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why batch-stop-update-action needs a policy

Without a description, confidence is moderate. However, the name structure strongly suggests this tool triggers execution of batch operations to stop/interrupt updates—affecting multiple resources in parallel. This matches the Execute category (triggers external operations whose effects depend on arguments) rather than Read or Write.

From the tool's definition Tool name 'batch-stop-update-action' indicates it triggers batch operations that stop or halt updates. The 'stop' action suggests interrupting active processes or workflows.

Risk signalsBulk/mass operation — affects multiple targets

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

How to control batch-stop-update-action

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Serverless 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.

  1. Create a free account and register AWS Serverless 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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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 AWS Serverless 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 AWS Serverless 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 AWS Serverless 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 AWS Serverless MCP Server MCP server (awslabs.aws-serverless-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 AWS Serverless MCP Server tool call.

Start from AWS Serverless MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

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

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