AI agents invoke key_press to trigger actions in Sl Test. 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 triggers a keyboard input action on a simulator, which is an external operation whose effects depend on the keycode argument. It can interact with UI elements, submit forms, navigate, or trigger shortcuts — all execution-level operations with variable side effects depending on context.
From the tool's definition Press a single key by keycode on the simulator
Attacks that exploit this kind of access
Press a single key by keycode on the simulator. Common keycodes: 40=Return, 42=Backspace, 43=Tab, 44=Space, 58-67=F1-F10. It is categorised as a Execute tool in the Sl Test MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sl Test MCP server in PolicyLayer and add a rule for key_press: 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 Sl Test. Nothing to install.
key_press 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 key_press 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 key_press. 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.
key_press is provided by the Sl Test MCP server (sampsonky/xcodebuildmcp). 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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