Pause automation and display a message. Waits until the user signals to continue (call again with resume=true).
AI agents invoke crow_browser_wait_for_user to trigger actions in Crow. 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 triggers execution control logic that pauses and resumes automation workflows. While not destructive or immediately dangerous, it can halt or manipulate the execution flow of AI agent operations, making it an Execute category.
From the tool's definition Tool description states 'Pause automation and display a message' and 'Waits until the user signals to continue', indicating it controls execution flow and can pause/resume automated processes.
Documented attack patterns abuse exactly the kind of access crow_browser_wait_for_user gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_browser_wait_for_user:
{
"version": "1",
"default": "deny",
"tools": {
"crow_browser_wait_for_user": {
"limits": [
{
"counter": "crow_browser_wait_for_user_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} crow_browser_wait_for_user 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.
Free to start. No card required.
Pause automation and display a message. Waits until the user signals to continue (call again with resume=true). It is categorised as a Execute tool in the Crow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Crow MCP server in PolicyLayer and add a rule for crow_browser_wait_for_user: 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 Crow. Nothing to install.
crow_browser_wait_for_user 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 crow_browser_wait_for_user 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 crow_browser_wait_for_user. 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.
crow_browser_wait_for_user is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, 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.
576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.