AI agents invoke vibekit_wait_for_task to trigger actions in Vibekit. 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.
This tool blocks until a task completes, indicating it supervises arbitrary task execution. While the tool itself does not directly execute code, it is part of an execution pipeline (vibekit_agent_* tools, database operations) where an AI agent could submit arbitrary tasks and wait for results. The polling mechanism suggests dependency on external state changes from task execution.
From the tool's definition Tool waits for task completion via polling ('polling every 5 seconds'), implying it monitors and depends on task execution outcomes.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Wait for a task to complete, polling every 5 seconds. It is categorised as a Execute tool in the Vibekit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vibekit MCP server in PolicyLayer and add a rule for vibekit_wait_for_task: 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_wait_for_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the vibekit_wait_for_task 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_wait_for_task. 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_wait_for_task 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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