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rainhan99

Cloud Manage MCP Server

by rainhan99

power_off_alibaba_instance

Stop an Alibaba Cloud ECS instance with triple confirmation for safety. This tool manages cloud resources by requiring instance ID, IP, name, and operation verification before powering off.

Instructions

强制停止阿里云ECS实例(需要三次确认)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYes
ip_confirmationNo
name_confirmationNo
operation_confirmationNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • main.py:585-597 (handler)
    MCP tool handler for 'power_off_alibaba_instance' decorated with @mcp.tool(). Delegates execution to alibaba_provider.power_off_instance with confirmation parameters.
    @mcp.tool()
    def power_off_alibaba_instance(
        instance_id: str, 
        ip_confirmation: str = "", 
        name_confirmation: str = "", 
        operation_confirmation: str = ""
    ) -> Dict:
        """
        强制停止阿里云ECS实例(需要三次确认)
        """
        return alibaba_provider.power_off_instance(
            instance_id, ip_confirmation, name_confirmation, operation_confirmation
        )
  • AlibabaProvider.power_off_instance method, which calls the core _execute_power_operation with 'stop' operation.
    def power_off_instance(
        self, 
        instance_id: str, 
        ip_confirmation: str = "", 
        name_confirmation: str = "", 
        operation_confirmation: str = ""
    ) -> Dict:
        """
        强制停止ECS实例(需要三次确认)
        """
        return self._execute_power_operation(
            instance_id, 'stop', ip_confirmation, name_confirmation, operation_confirmation
        )
  • Core helper method _execute_power_operation that handles instance retrieval, triple confirmation logic using SecurityConfirmation class, validation, and invocation of Alibaba Cloud ECS API for stopping the instance.
    def _execute_power_operation(
        self, 
        instance_id: str, 
        operation: str, 
        ip_confirmation: str, 
        name_confirmation: str, 
        operation_confirmation: str
    ) -> Dict:
        """
        执行电源操作的通用函数
        """
        if not self.available:
            return {
                'error': f'阿里云服务不可用: {getattr(self, "error", "未知错误")}',
                'provider': 'alibaba'
            }
        
        # 首先获取实例信息
        try:
            request = ecs_models.DescribeInstancesRequest(
                region_id=self.region_id,
                instance_ids=json.dumps([instance_id])
            )
            
            response = self.client.describe_instances(request)
            
            if not response.body.instances or not response.body.instances.instance:
                return {
                    'error': f'未找到ID为 {instance_id} 的ECS实例',
                    'provider': 'alibaba'
                }
            
            instance = response.body.instances.instance[0]
            
            # 格式化实例信息用于确认
            instance_info = self._format_instance_for_confirmation(instance)
            
        except Exception as e:
            return {
                'error': f'获取ECS实例信息时发生错误: {str(e)}',
                'provider': 'alibaba'
            }
        
        # 检查是否提供了确认信息
        if not ip_confirmation or not name_confirmation or not operation_confirmation:
            # 转换操作名称
            operation_mapping = {
                'start': 'power_on',
                'stop': 'power_off',
                'reboot': 'reboot'
            }
            mapped_operation = operation_mapping.get(operation, operation)
            return require_triple_confirmation(instance_info, mapped_operation)
        
        # 验证确认信息
        security = SecurityConfirmation()
        operation_mapping = {
            'start': 'power_on',
            'stop': 'power_off',
            'reboot': 'reboot'
        }
        mapped_operation = operation_mapping.get(operation, operation)
        
        is_valid, error_message = security.validate_power_operation(
            instance_info, mapped_operation, ip_confirmation, name_confirmation, operation_confirmation
        )
        
        if not is_valid:
            return {
                'error': f'确认验证失败: {error_message}',
                'provider': 'alibaba',
                'requires_confirmation': True
            }
        
        # 执行实际操作
        try:
            if operation == 'start':
                request = ecs_models.StartInstanceRequest(
                    instance_id=instance_id
                )
                response = self.client.start_instance(request)
            elif operation == 'stop':
                request = ecs_models.StopInstanceRequest(
                    instance_id=instance_id,
                    force_stop=True
                )
                response = self.client.stop_instance(request)
            elif operation == 'reboot':
                request = ecs_models.RebootInstanceRequest(
                    instance_id=instance_id,
                    force_stop=True
                )
                response = self.client.reboot_instance(request)
            else:
                return {
                    'error': f'不支持的操作类型: {operation}',
                    'provider': 'alibaba'
                }
            
            return {
                'provider': 'alibaba',
                'instance_id': instance_id,
                'operation_success': True,
                'operation': operation,
                'request_id': response.body.request_id,
                'message': f'已成功提交 {operation} 操作',
                'confirmation_validated': True
            }
            
        except Exception as e:
            return {
                'error': f'执行 {operation} 操作时发生错误: {str(e)}',
                'provider': 'alibaba'
            }
  • Supporting utility require_triple_confirmation that generates the triple confirmation prompt, safety warnings, and format instructions used in the power operation workflow.
    def require_triple_confirmation(instance_info: Dict, operation: str) -> Dict[str, any]:
        """
        生成三重确认要求的完整信息
        
        Args:
            instance_info (dict): 实例信息
            operation (str): 操作类型
            
        Returns:
            Dict[str, any]: 确认要求信息
        """
        security = SecurityConfirmation()
        
        # 获取确认提示
        prompt = security.create_confirmation_prompt(instance_info, operation)
        
        # 检查操作安全性
        is_safe, safety_level, warnings = security.check_operation_safety(instance_info, operation)
        
        return {
            'requires_confirmation': True,
            'confirmation_prompt': prompt,
            'safety_check': {
                'is_safe': is_safe,
                'safety_level': safety_level,
                'warnings': warnings
            },
            'confirmation_format': {
                'ip_confirmation': f"请输入目标IP地址: {prompt['target_ip']}",
                'name_confirmation': f"请输入实例名称: {prompt['target_name']}", 
                'operation_confirmation': f"请输入操作类型: {prompt['operation_name']}"
            }
        } 
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It discloses the confirmation requirement ('需要三次确认'), which is a behavioral trait. However, it doesn't mention critical details like whether this operation is destructive, irreversible, requires specific permissions, has rate limits, or what the output looks like. For a power-off tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence in Chinese that directly states the tool's purpose and key requirement. It's front-loaded with no wasted words, making it highly concise and well-structured for its content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (forceful power-off with confirmations), no annotations, 0% schema coverage, and 4 parameters, the description is incomplete. While an output schema exists, the description lacks crucial context like behavioral risks, parameter explanations, and differentiation from siblings. It doesn't provide enough information for safe and correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It implies confirmations are needed but doesn't explain what the three confirmation parameters (ip_confirmation, name_confirmation, operation_confirmation) represent or how to use them. The description adds minimal value beyond the schema, failing to clarify parameter meanings or usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('强制停止' = force stop) and the resource ('阿里云ECS实例' = Alibaba Cloud ECS instance). It distinguishes from siblings like 'power_on_alibaba_instance' and 'reboot_alibaba_instance' by specifying forceful stopping. However, it doesn't explicitly differentiate from 'manage_instance_power' which might handle similar operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions '需要三次确认' (requires three confirmations), which provides some context about when to use it (when confirmations are needed). However, it doesn't explain when to choose this tool over alternatives like 'power_off_digitalocean_droplet' or 'shutdown_digitalocean_droplet', nor does it specify prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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