Wait until the terminal buffer stops changing. Useful after sending keys to wait for the app to finish rendering.
AI agents invoke wait_for_idle to trigger actions in Tui. 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.
While 'wait_for_idle' itself is passive (reading buffer state, not modifying), it is a synchronization primitive for an Execute framework. An AI agent using this tool to wait for completion after 'send_keys' can reliably trigger terminal commands and applications with side effects (file operations, system commands, data modifications).
From the tool's definition Tool interacts with terminal buffer state and timing behavior. 'Wait until the terminal buffer stops changing' indicates monitoring and synchronizing with TUI application state, which enables execution sequencing.
Documented attack patterns abuse exactly the kind of access wait_for_idle gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tui, and nothing reaches the server without passing your rules. This is the rule we recommend for wait_for_idle:
{
"version": "1",
"default": "deny",
"tools": {
"wait_for_idle": {
"limits": [
{
"counter": "wait_for_idle_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} wait_for_idle stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Wait until the terminal buffer stops changing. Useful after sending keys to wait for the app to finish rendering. It is categorised as a Execute tool in the Tui MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tui MCP server in PolicyLayer and add a rule for wait_for_idle: 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 Tui. Nothing to install.
wait_for_idle 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 wait_for_idle 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 wait_for_idle. 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.
wait_for_idle is provided by the Tui MCP server (nvms/tui-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tui, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 Tui tools catalogued and risk-classified — across an index of 43,000+ MCP servers.