Wait for a selector or timeout.
AI agents invoke browser.wait to trigger actions in MCP Playwright Browser. 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 a browser automation action (waiting for a selector or timeout), which is an active execution step within a browser automation context. While it has minimal direct side effects on its own, it is an execution-class operation in a browser automation pipeline. Severity is low since misuse causes at worst a delay or hang, not data loss or financial harm.
From the tool's definition Wait for a selector or timeout — triggers a Playwright browser wait operation, pausing execution until a DOM element appears or a timeout elapses.
Attacks that exploit this kind of access
Wait for a selector or timeout. It is categorised as a Execute tool in the MCP Playwright Browser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Playwright Browser MCP server in PolicyLayer and add a rule for browser.wait: 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 MCP Playwright Browser. Nothing to install.
browser.wait 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.wait 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.wait. 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.wait is provided by the MCP Playwright Browser MCP server (mhrnqaruni/mcp-playwright-browser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →