AI agents call list-estimates 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 retrieves and displays estimate data in paginated format without modifying, creating, or deleting any data. It is a straightforward data retrieval operation consistent with the Read category. The low severity reflects that unauthorized access to estimates is primarily an information disclosure risk rather than operational risk.
From the tool's definition Tool name 'list-estimates' and description 'Get a paginated list of estimates' indicate a retrieval operation with no side effects. The verb 'Get' and 'list' are characteristic of read-only queries.
Documented attack patterns abuse exactly the kind of access list-estimates 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 list-estimates:
{
"version": "1",
"default": "deny",
"tools": {
"list-estimates": {}
}
}list-estimates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a paginated list of estimates. 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 list-estimates: 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.
list-estimates 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-estimates 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-estimates. 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-estimates is provided by the GoHighLevel MCP Server MCP server (drausal/gohighlevel-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.
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406 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.