summarize_email_campaign_performance

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

SERVERGoHighLevel MCP Server SOURCEbusybee3333/go-high-level-mcp-2026-complete

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/busybee3333-go-high-level-mcp-2026-complete/summarize-email-campaign-performance.md

WHAT IT DOES

What summarize_email_campaign_performance does on GoHighLevel MCP Server

AI agents call summarize_email_campaign_performance to retrieve information from GoHighLevel MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why summarize_email_campaign_performance is rated Low

This tool queries and aggregates performance metrics for email campaigns. It reads statistics and summarizes them, which is a purely read operation. No data is created, modified, deleted, or financial transactions are triggered.

From the tool's definition 'Summarize scheduled email campaign performance' and 'optionally sampling per-campaign stats endpoints' indicate read-only retrieval of analytics data with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs summarize_email_campaign_performance safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GoHighLevel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For summarize_email_campaign_performance, this is the rule to start with:

summarize_email_campaign_performance Allowed

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

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "summarize_email_campaign_performance": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GoHighLevel MCP Server, apply this rule, and every summarize_email_campaign_performance call is checked against it from then on.

FAQ

Questions about summarize_email_campaign_performance

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.

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