AI agents call debug_read_logs to retrieve information from Browser-Debugger without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing diagnostic data without side effects. It does not create, modify, delete, or execute any operations. The blast radius of misuse is minimal—an AI agent could only access log information that was already generated, which may contain sensitive data but cannot itself cause harm through the tool's action.
From the tool's definition Tool name and description explicitly state 'Reads console and network logs' with no modification, deletion, or execution capabilities. Retrieves historical logging data (last 20 entries) only.
Documented attack patterns abuse exactly the kind of access debug_read_logs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Browser-Debugger, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_read_logs:
{
"version": "1",
"default": "deny",
"tools": {
"debug_read_logs": {}
}
}debug_read_logs 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.
Reads console and network logs (last 20 each). It is categorised as a Read tool in the Browser-Debugger MCP Server, which means it retrieves data without modifying state.
Register the Browser-Debugger MCP server in PolicyLayer and add a rule for debug_read_logs: 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-Debugger. Nothing to install.
debug_read_logs 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 debug_read_logs 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 debug_read_logs. 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.
debug_read_logs is provided by the Browser-Debugger MCP server (selvadinesh-giga/mcp-based-browser-debug-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Browser-Debugger, 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.
14 Browser-Debugger tools catalogued and risk-classified — across an index of 43,000+ MCP servers.