wait_for
Wait for the specified text to appear on the selected page.
This record as markdown: /tools/async23-chrome-devtools-mcp/wait-for.md
What wait_for does on Chrome Devtools
AI agents invoke wait_for 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.
Why wait_for is rated High
While 'wait_for' performs no direct data modification, it is classified as Execute rather than Read because: (1) it triggers active monitoring/polling operations within the browser automation context; (2) it controls flow of execution in an automation sequence; (3) it can consume resources and has side effects (time delays, continued browser activity); (4) misuse by an agent could cause unintended delays, infinite…
From the tool's definition Tool description: 'Wait for the specified text to appear on the selected page.' The tool performs a passive wait operation that blocks/pauses execution flow.
Attacks that exploit this kind of access
The rule that runs wait_for safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Chrome Devtools, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wait_for, this is the rule to start with:
wait_for 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 Chrome Devtools, apply this rule, and every wait_for call is checked against it from then on.
Questions about wait_for
Wait for the specified text to appear 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 wait_for: 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.
wait_for 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 wait_for 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 wait_for. 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.
wait_for is provided by the Chrome Devtools MCP server (@async23/chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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