AI agents invoke rpc_click_by_context to trigger actions in Rpcclient. 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 performs UI interaction (clicking) on an iOS device based on natural language intent. It executes actions on a real device, triggering whatever the clicked element does. An AI agent could misuse this to click unintended elements like purchase buttons, confirmation dialogs, or destructive actions.
From the tool's definition Click the most relevant screen element for a natural-language intent
Attacks that exploit this kind of access
Click the most relevant screen element for a natural-language intent. It is categorised as a Execute tool in the Rpcclient MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rpcclient MCP server in PolicyLayer and add a rule for rpc_click_by_context: 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 Rpcclient. Nothing to install.
rpc_click_by_context 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 rpc_click_by_context 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 rpc_click_by_context. 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.
rpc_click_by_context is provided by the Rpcclient MCP server (appknox/rpcclient-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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