browser_click
A execute tool on the Playwright MCP server.
This record as markdown: /tools/hanato238-playwright-mcp/browser-click.md
What browser_click does on Playwright
AI agents invoke browser_click to trigger actions in Playwright. 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 browser_click is rated High
A click action triggers interactions in a browser — submitting forms, navigating pages, activating buttons — whose effects depend entirely on what is clicked. This is an external operation with potentially wide-ranging side effects (e.g., confirming purchases, deleting content, submitting data).
From the tool's definition Tool name 'browser_click' on a browser automation MCP server that 'lets LLMs interact with web pages'
Attacks that exploit this kind of access
The rule that runs browser_click safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_click, this is the rule to start with:
browser_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Playwright, apply this rule, and every browser_click call is checked against it from then on.
Questions about browser_click
browser_click is a execute tool on the Playwright MCP server. It is categorised as a Execute tool in the Playwright MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP server in PolicyLayer and add a rule for browser_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 Playwright. Nothing to install.
browser_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 browser_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 browser_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.
browser_click is provided by the Playwright MCP server (hanato238/playwright-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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