High Risk →

playwright_iframe_click

Click an element in an iframe on the page

How to control playwright_iframe_click ↓

What playwright_iframe_click does on Playwright MCP Server

AI agents invoke playwright_iframe_click to trigger actions in Playwright 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.

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Why playwright_iframe_click needs a policy

Clicking elements in a browser iframe is an Execute-category action because it triggers real browser interactions whose effects are entirely dependent on the target element and context — could submit forms, trigger purchases, navigate pages, or activate arbitrary JavaScript handlers. Iframes often embed third-party content (payment widgets, OAuth flows), raising the severity to high.

From the tool's definition 'Click an element in an iframe on the page' — triggers a browser click action inside an iframe, causing side effects that depend on what the element does (form submission, navigation, UI state changes, etc.)

Documented attack patterns abuse exactly the kind of access playwright_iframe_click gives an agent:

How to control playwright_iframe_click

PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for playwright_iframe_click:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "playwright_iframe_click": {
      "limits": [
        {
          "counter": "playwright_iframe_click_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

playwright_iframe_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.

  1. Create a free account and register Playwright MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about playwright_iframe_click

What does the playwright_iframe_click tool do? +

Click an element in an iframe on the page. It is categorised as a Execute tool in the Playwright MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on playwright_iframe_click? +

Register the Playwright MCP Server MCP server in PolicyLayer and add a rule for playwright_iframe_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 MCP Server. Nothing to install.

What risk level is playwright_iframe_click? +

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

Can I rate-limit playwright_iframe_click? +

Yes. Add a rate_limit block to the playwright_iframe_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.

How do I block playwright_iframe_click completely? +

Set action: deny in the PolicyLayer policy for playwright_iframe_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.

What MCP server provides playwright_iframe_click? +

playwright_iframe_click is provided by the Playwright MCP Server MCP server (pvinis/mcp-playwright-stealth). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Playwright MCP Server tool call.

Start from Playwright MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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29 Playwright MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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