AI agents call get_agent_reports 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 queries and retrieves performance report data about agents or users. It has no side effects—it does not create, modify, delete, or execute any operations. The action is purely informational (Read category). Severity is low because performance reports are typically analytical data with limited blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_agent_reports' and description 'Get agent/user performance reports' indicate retrieval of existing data with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access get_agent_reports 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 get_agent_reports:
{
"version": "1",
"default": "deny",
"tools": {
"get_agent_reports": {}
}
}get_agent_reports is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get agent/user performance reports. 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 get_agent_reports: 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.
get_agent_reports 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 get_agent_reports 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 get_agent_reports. 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.
get_agent_reports is provided by the GoHighLevel MCP Server MCP server (busybee3333/go-high-level-mcp-2026-complete). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 566 GoHighLevel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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566 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.