Debug tool to show current MCP server configuration and auth status
AI agents call debug_config to retrieve information from GoHighLevel MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and displays diagnostic information about the server state. It has no side effects, does not execute arbitrary code, and does not modify or delete data. The blast radius of misuse is minimal—an attacker would only gain visibility into configuration details, which while sensitive, does not grant direct access to CRM operations or data modification. Classified as Read with low severity.
From the tool's definition Tool description states it is a 'Debug tool to show current MCP server configuration and auth status' — it retrieves and displays configuration and authentication metadata without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access debug_config gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GoHighLevel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_config:
{
"version": "1",
"default": "deny",
"tools": {
"debug_config": {}
}
} debug_config 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.
Debug tool to show current MCP server configuration and auth status. It is categorised as a Read tool in the GoHighLevel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for debug_config: 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 GoHighLevel MCP Server. Nothing to install.
debug_config 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_config 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_config. 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_config is provided by the GoHighLevel MCP Server MCP server (basicmachines-co/open-ghl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GoHighLevel MCP Server, 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.
64 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.