AI agents invoke send_control to trigger actions in PiloTY. 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.
In a terminal/shell context, 'send_control' almost certainly sends control characters (e.g., Ctrl+C, Ctrl+D, Ctrl+Z) to an interactive terminal session. This constitutes executing actions within a running shell environment.
From the tool's definition Tool name 'send_control' on a server providing 'persistent, interactive terminal' with sibling tools like 'send_signal', 'send_line', 'execute_script' context — control characters sent to a terminal session can interrupt processes, trigger Ctrl+C/D/Z actions,…
Documented attack patterns abuse exactly the kind of access send_control gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PiloTY, and nothing reaches the server without passing your rules. This is the rule we recommend for send_control:
{
"version": "1",
"default": "deny",
"tools": {
"send_control": {
"limits": [
{
"counter": "send_control_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}send_control 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.
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send_control. It is categorised as a Execute tool in the PiloTY MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PiloTY MCP server in PolicyLayer and add a rule for send_control: 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 PiloTY. Nothing to install.
send_control 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 send_control 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 send_control. 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.
send_control is provided by the PiloTY MCP server (yiwenlu66/piloty). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 PiloTY tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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17 PiloTY tools catalogued and risk-classified — across an index of 42,500+ MCP servers.