Click a button, link, or any interactive element on the page. Useful for navigating through multi-step interfaces, opening chat modals, starting new conversations, or triggering UI actions. Can target elements by CSS selector or by their visible text content. Automatically waits after clicking to...
AI agents invoke click_element to trigger actions in WebScout MCP. 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 browser automation actions (clicking interactive elements) that trigger external operations with effects that depend on the target element — navigating pages, submitting forms, opening modals, or initiating conversations. The outcome varies entirely on what element is clicked, making it an Execute-category tool. Misuse could trigger unintended actions in web applications being reverse-engineered.
From the tool's definition Click a button, link, or any interactive element on the page... triggering UI actions... navigating through multi-step interfaces
Attacks that exploit this kind of access
Click a button, link, or any interactive element on the page. Useful for navigating through multi-step interfaces, opening chat modals, starting new conversations, or triggering UI actions. Can target elements by CSS selector or by their visible text content. Automatically waits after clicking to allow page updates. It is categorised as a Execute tool in the WebScout MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the WebScout MCP server in PolicyLayer and add a rule for click_element: 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 WebScout MCP. Nothing to install.
click_element 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 click_element 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 click_element. 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.
click_element is provided by the WebScout MCP server (pyscout/webscout-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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