browser_stop_tracing
A execute tool on the Playwright MCP server.
This record as markdown: /tools/alialobidm-playwright-mcp/browser-stop-tracing.md
What browser_stop_tracing does on Playwright MCP
AI agents invoke browser_stop_tracing to trigger actions in Playwright 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.
Why browser_stop_tracing is rated High
This tool stops an active browser trace, which is an operational control action (Execute category). It modifies the state of browser instrumentation/monitoring but does not delete data or move money. Confidence is moderate (0.75) because the description is empty; however, context from the server description (browser automation) and sibling tools strongly suggests this performs a browser control operation.
From the tool's definition Tool name 'browser_stop_tracing' indicates control of browser tracing/recording operations. No description provided, but sibling tools include browser_click, browser_drag, browser_evaluate, and browser_console_messages, all of which are browser automation…
Attacks that exploit this kind of access
The rule that runs browser_stop_tracing safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_stop_tracing, this is the rule to start with:
browser_stop_tracing 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 MCP, apply this rule, and every browser_stop_tracing call is checked against it from then on.
Questions about browser_stop_tracing
browser_stop_tracing is a execute tool on the Playwright MCP server. It is categorised as a Execute tool in the Playwright MCP 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_stop_tracing: 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. Nothing to install.
browser_stop_tracing 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_stop_tracing 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_stop_tracing. 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_stop_tracing is provided by the Playwright MCP server (alialobidm/playwright-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Playwright, and thousands of servers like it.
Across the catalogue