rpc_click_label

Click a UI element by label (exact or fuzzy).

Server Rpcclient appknox/rpcclient-mcp
Category Execute
Risk class High
Parameters 00 required

What rpc_click_label does on Rpcclient

AI agents invoke rpc_click_label 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.

Why rpc_click_label needs a policy

This tool performs a click action on a UI element in an iOS automation context. Clicking is an external operation that triggers UI interactions whose effects depend on what is clicked — it could submit forms, navigate screens, or trigger actions. This falls under Execute as it performs browser/app-level actions rather than simply reading or writing data.

From the tool's definition Click a UI element by label (exact or fuzzy)

Questions about rpc_click_label

What does the rpc_click_label tool do? +

Click a UI element by label (exact or fuzzy). 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.

How do I enforce a policy on rpc_click_label? +

Register the Rpcclient MCP server in PolicyLayer and add a rule for rpc_click_label: 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.

What risk level is rpc_click_label? +

rpc_click_label is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit rpc_click_label? +

Yes. Add a rate_limit block to the rpc_click_label 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.

How do I block rpc_click_label completely? +

Set action: deny in the PolicyLayer policy for rpc_click_label. 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.

What MCP server provides rpc_click_label? +

rpc_click_label 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.

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