Low Risk

summarize_email_campaign_performance

Summarize scheduled email campaign performance for a location, optionally sampling per-campaign stats endpoints.

How to control summarize_email_campaign_performance ↓

AI agents call summarize_email_campaign_performance 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.

Low Risk

This tool retrieves and summarizes performance data for email campaigns. It reads/queries existing statistics without creating, modifying, or deleting any data. The word 'summarize' and 'stats endpoints' confirm a read-only analytics function.

From the tool's definition Summarize scheduled email campaign performance for a location, optionally sampling per-campaign stats endpoints

Documented attack patterns abuse exactly the kind of access summarize_email_campaign_performance 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 summarize_email_campaign_performance:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "summarize_email_campaign_performance": {}
  }
}

summarize_email_campaign_performance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GoHighLevel MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the summarize_email_campaign_performance tool do? +

Summarize scheduled email campaign performance for a location, optionally sampling per-campaign stats endpoints. It is categorised as a Read tool in the GoHighLevel MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on summarize_email_campaign_performance? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for summarize_email_campaign_performance: 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.

What risk level is summarize_email_campaign_performance? +

summarize_email_campaign_performance is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit summarize_email_campaign_performance? +

Yes. Add a rate_limit block to the summarize_email_campaign_performance 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.

How do I block summarize_email_campaign_performance completely? +

Set action: deny in the PolicyLayer policy for summarize_email_campaign_performance. 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.

What MCP server provides summarize_email_campaign_performance? +

summarize_email_campaign_performance 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.

Enforce policy on every GoHighLevel MCP Server tool call.

Deterministic rules across all 566 GoHighLevel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

566 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.