Schedule automatic stop of an SAP application using EventBridge Scheduler. Useful for stopping SAP systems at end of business hours or cost optimization by stopping dev/test systems overnight/weekends. Args: ctx: MCP context object. application_id: The application ID. schedule_expre...
High parameter count (11 properties)
Part of the AWS Labs AWS For SAP Management MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use schedule_stop_application to create or modify resources in AWS Labs AWS For SAP Management MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call schedule_stop_application repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AWS Labs AWS For SAP Management MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
schedule_stop_application:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full AWS Labs AWS For SAP Management MCP Server policy for all 22 tools.
Agents calling write-class tools like schedule_stop_application have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Schedule automatic stop of an SAP application using EventBridge Scheduler. Useful for stopping SAP systems at end of business hours or cost optimization by stopping dev/test systems overnight/weekends. Args: ctx: MCP context object. application_id: The application ID. schedule_expression: Rate or cron expression. include_ec2_instance_shutdown: Whether to also shutdown EC2 instances. stop_connected_entity: Connected entity to stop (e.g., 'DBMS'). schedule_name: Optional custom schedule name. description: Optional description. start_date: Optional start date (ISO format). end_date: Optional end date (ISO format). timezone_str: Timezone for cron expressions. region: AWS region. profile_name: AWS CLI profile name. Returns: CreateScheduleResponse with schedule details.. It is categorised as a Write tool in the AWS Labs AWS For SAP Management MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for schedule_stop_application. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS Labs AWS For SAP Management MCP Server MCP server.
schedule_stop_application is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the schedule_stop_application rule in your Intercept 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.
Set action: deny in the Intercept policy for schedule_stop_application. 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.
schedule_stop_application is provided by the AWS Labs AWS For SAP Management MCP Server MCP server (awslabs.aws-for-sap-management-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.