AI agents invoke type_text_input to trigger actions in Macinput. 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.
Typing text into a focused input target is an active execution of desktop GUI interaction. The blast radius is high because the focused target could be a terminal, chat application, email client, or any other sensitive application, and the AI agent has no inherent restriction on what text is typed.
From the tool's definition 'Type unicode text into the currently focused macOS input target' — triggers keyboard input actions on the desktop GUI, which can have wide-ranging side effects depending on the focused application (e.g., executing commands in a terminal, sending messages,…
Attacks that exploit this kind of access
Type unicode text into the currently focused macOS input target. It is categorised as a Execute tool in the Macinput MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Macinput MCP server in PolicyLayer and add a rule for type_text_input: 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 Macinput. Nothing to install.
type_text_input 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 type_text_input 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 type_text_input. 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.
type_text_input is provided by the Macinput MCP server (sigma711/macinput). 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.
Teams ship this data inside their own products. See what a licence covers →