AI agents use vibekit_create_app_schedule to create or update resources in Vibekit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vibekit environment.
This tool creates a new cron schedule configuration for an application. Creating a scheduled task is a Write operation — it persists new data (a schedule) reversibly without executing code directly or deleting anything. However, misuse could cause unintended automated executions, warranting medium severity.
From the tool's definition "Create a cron schedule for an app"
Attacks that exploit this kind of access
Create a cron schedule for an app. It is categorised as a Write tool in the Vibekit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vibekit MCP server in PolicyLayer and add a rule for vibekit_create_app_schedule: 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 Vibekit. Nothing to install.
vibekit_create_app_schedule 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 vibekit_create_app_schedule 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.
Set action: deny in the PolicyLayer policy for vibekit_create_app_schedule. 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.
vibekit_create_app_schedule is provided by the Vibekit MCP server (vibekit-apps/vibekit-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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