retry_vm_deploy_machine

[VM Deploy Order Management] Retry VM deploy machine

SERVERAlibabacloud Devops SOURCEalibabacloud-devops-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/alibabacloud-devops/retry-vm-deploy-machine.md

WHAT IT DOES

What retry_vm_deploy_machine does on Alibabacloud Devops

AI agents invoke retry_vm_deploy_machine to trigger actions in Alibabacloud Devops. 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.

RISK

Why retry_vm_deploy_machine is rated High

The tool executes a deployment operation on a virtual machine. While not immediately destructive, it causes real changes to infrastructure state and could impact service availability if applied to wrong targets. The blast radius is significant in a cloud/DevOps context (downtime, service interruption), making it Execute rather than Write.

From the tool's definition Retry VM deploy machine is described as a VM Deploy Order Management tool that retries a deployment action on a machine.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs retry_vm_deploy_machine safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Alibabacloud Devops, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For retry_vm_deploy_machine, this is the rule to start with:

retry_vm_deploy_machine Rate-limited

retry_vm_deploy_machine 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "retry_vm_deploy_machine": {
      "limits": [
        {
          "counter": "retry_vm_deploy_machine_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Alibabacloud Devops, apply this rule, and every retry_vm_deploy_machine call is checked against it from then on.

FAQ

Questions about retry_vm_deploy_machine

What does the retry_vm_deploy_machine tool do? +

[VM Deploy Order Management] Retry VM deploy machine. It is categorised as a Execute tool in the Alibabacloud Devops MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on retry_vm_deploy_machine? +

Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for retry_vm_deploy_machine: 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 Alibabacloud Devops. Nothing to install.

What risk level is retry_vm_deploy_machine? +

retry_vm_deploy_machine is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit retry_vm_deploy_machine? +

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

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

retry_vm_deploy_machine is provided by the Alibabacloud Devops MCP server (alibabacloud-devops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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