Health check endpoint with system stats and running task information. Returns: JSON object with server health status, running tasks, and statistics
AI agents call health_check to retrieve information from Browser-Use MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a diagnostic/monitoring endpoint that passively retrieves system state information. No data is created, modified, deleted, executed, or financially committed. The tool is informational only, similar to status checks or health probes commonly used in monitoring infrastructure.
From the tool's definition Tool name 'health_check' and description 'Returns: JSON object with server health status, running tasks, and statistics' indicate a read-only query operation that retrieves diagnostic information without side effects.
Documented attack patterns abuse exactly the kind of access health_check gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Browser-Use MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for health_check:
{
"version": "1",
"default": "deny",
"tools": {
"health_check": {}
}
} health_check is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Health check endpoint with system stats and running task information. Returns: JSON object with server health status, running tasks, and statistics. It is categorised as a Read tool in the Browser-Use MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Browser-Use MCP Server MCP server in PolicyLayer and add a rule for health_check: 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 Browser-Use MCP Server. Nothing to install.
health_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the health_check 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 health_check. 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.
health_check is provided by the Browser-Use MCP Server MCP server (saik0s/mcp-browser-use). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Browser-Use MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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9 Browser-Use MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.