Stops the active screencast recording on the selected page.
AI agents invoke screencast_stop to trigger actions in Chrome DevTools. 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 executes a command to halt an ongoing browser operation (screencast recording). While the impact is reversible and limited in blast radius, it falls under Execute rather than Write because it triggers a control action on an external system (Chrome DevTools) rather than modifying data.
From the tool's definition Tool 'screencast_stop' stops an active screencast recording, which is a control action that affects the state of browser automation. It triggers an external operation (stopping a recording) whose effects depend on whether a screencast is actively running.
Documented attack patterns abuse exactly the kind of access screencast_stop gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome DevTools, and nothing reaches the server without passing your rules. This is the rule we recommend for screencast_stop:
{
"version": "1",
"default": "deny",
"tools": {
"screencast_stop": {
"limits": [
{
"counter": "screencast_stop_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} screencast_stop 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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Stops the active screencast recording on the selected page. It is categorised as a Execute tool in the Chrome DevTools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome DevTools MCP server in PolicyLayer and add a rule for screencast_stop: 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 Chrome DevTools. Nothing to install.
screencast_stop 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 screencast_stop 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 screencast_stop. 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.
screencast_stop is provided by the Chrome DevTools MCP server (ChromeDevTools/chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome DevTools, 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.
50 Chrome DevTools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.