Automatically correlate errors between console and network, find root causes
AI agents call error_correlate to retrieve information from Browser Connect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and analyzes existing debugging data (console logs, network information) to correlate errors and identify patterns. While it operates in a debugging context that could theoretically inform destructive actions if misused by an agent, the tool itself only performs read and analysis operations.
From the tool's definition Tool performs error correlation and root cause analysis across console and network data. The verb 'correlate' and 'find' indicate data retrieval and analysis operations with no modification or execution of code.
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access error_correlate gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Browser Connect, and nothing reaches the server without passing your rules. This is the rule we recommend for error_correlate:
{
"version": "1",
"default": "deny",
"tools": {
"error_correlate": {}
}
} error_correlate is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Automatically correlate errors between console and network, find root causes. It is categorised as a Read tool in the Browser Connect MCP Server, which means it retrieves data without modifying state.
Register the Browser Connect MCP server in PolicyLayer and add a rule for error_correlate: 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 Connect. Nothing to install.
error_correlate 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 error_correlate 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 error_correlate. 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.
error_correlate is provided by the Browser Connect MCP server (perception30/browser-connect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Browser Connect, 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.
16 Browser Connect tools catalogued and risk-classified — across an index of 43,000+ MCP servers.