AI agents invoke app_click to trigger actions in Claude Pascal MCP Server. 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.
Based on the server context (GUI automation, ADB interaction) and the tool name 'app_click', this tool most likely triggers a click action on a UI element in a desktop or Android application. Clicking is an external operation that can trigger arbitrary application behavior. The empty description lowers confidence, but the Execute category fits best given the automation context.
From the tool's definition Tool name 'app_click' on a server that performs GUI automation and Android device interaction via ADB; description is empty.
Documented attack patterns abuse exactly the kind of access app_click gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Pascal MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for app_click:
{
"version": "1",
"default": "deny",
"tools": {
"app_click": {
"limits": [
{
"counter": "app_click_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} app_click 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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app_click. It is categorised as a Execute tool in the Claude Pascal MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Pascal MCP Server MCP server in PolicyLayer and add a rule for app_click: 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 Claude Pascal MCP Server. Nothing to install.
app_click 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 app_click 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 app_click. 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.
app_click is provided by the Claude Pascal MCP Server MCP server (tina4stack/claude-pascal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Pascal MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
53 Claude Pascal MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.