AI agents invoke send_message to trigger actions in Ghl. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Sending messages triggers external communications (SMS, email) to real recipients. This is an external operation with real-world effects beyond just writing data internally. Misuse could result in spam, harassment, or unauthorized communications sent to contacts at scale, making it high severity. It falls under Execute as it triggers external operations rather than merely writing internal records.
From the tool's definition Send an SMS, email, or other GoHighLevel conversation message
Attacks that exploit this kind of access
Send an SMS, email, or other GoHighLevel conversation message. It is categorised as a Execute tool in the Ghl MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ghl MCP server in PolicyLayer and add a rule for send_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 Ghl. Nothing to install.
send_message is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the send_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.
Set action: deny in the PolicyLayer policy for send_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.
send_message is provided by the Ghl MCP server (snack-jpg/ghl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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