Medium Risk

add_inbound_message

Manually add an inbound message to a conversation

How to control add_inbound_message ↓

AI agents use add_inbound_message to create or update resources in GoHighLevel MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GoHighLevel MCP Server environment.

Medium Risk

This tool creates new data (a message) in a reversible manner. It modifies conversation state but does not delete data, execute arbitrary code, move funds, or trigger external operations unpredictably. The primary risk is data integrity — an AI could inject false messages into customer conversations, potentially misleading support staff or the customer, or creating audit/compliance issues.

From the tool's definition Tool name is 'add_inbound_message' and description states 'Manually add an inbound message to a conversation' — this creates/inserts a new message record into an existing conversation.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_inbound_message": {
      "limits": [
        {
          "counter": "add_inbound_message_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_inbound_message stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. 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.
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Go deeper

What does the add_inbound_message tool do? +

Manually add an inbound message to a conversation. It is categorised as a Write tool in the GoHighLevel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_inbound_message? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for add_inbound_message: 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 add_inbound_message? +

add_inbound_message is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_inbound_message? +

Yes. Add a rate_limit block to the add_inbound_message 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 add_inbound_message completely? +

Set action: deny in the PolicyLayer policy for add_inbound_message. 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 add_inbound_message? +

add_inbound_message 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.

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

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