resume_vm_deploy_order

[VM Deploy Order Management] Resume VM deploy order

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/resume-vm-deploy-order.md

What resume_vm_deploy_order does on Alibabacloud Devops

AI agents invoke resume_vm_deploy_order 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.

Why resume_vm_deploy_order is rated High

Resuming a VM deploy order triggers an external deployment operation on infrastructure. This is an Execute-category action as it initiates or continues a deployment process affecting live systems, with high severity due to the potential blast radius of deploying to production VM environments.

From the tool's definition Resume VM deploy order

Questions about resume_vm_deploy_order

What does the resume_vm_deploy_order tool do? +

[VM Deploy Order Management] Resume VM deploy order. 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 resume_vm_deploy_order? +

Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for resume_vm_deploy_order: 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 resume_vm_deploy_order? +

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

Can I rate-limit resume_vm_deploy_order? +

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

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

resume_vm_deploy_order 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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