AI agents call list_funnels to retrieve information from Ghl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries existing funnels from the GoHighLevel CRM system. It performs no creation, modification, deletion, execution, or financial transaction. The verb 'list' is a classic read operation that returns data without altering state. Severity is low as it only exposes funnel metadata for a configured location, with no capability to modify or execute operations.
From the tool's definition Tool name 'list_funnels' and description 'List GoHighLevel funnels for the configured location' clearly indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List GoHighLevel funnels for the configured location. It is categorised as a Read tool in the Ghl MCP Server, which means it retrieves data without modifying state.
Register the Ghl MCP server in PolicyLayer and add a rule for list_funnels: 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 Ghl. Nothing to install.
list_funnels 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 list_funnels 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 list_funnels. 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.
list_funnels is provided by the Ghl MCP server (snack-jpg/ghl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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