This record as markdown: /tools/aiwerk-mcp-server-ghl/agent-studio-promote-and-publish.md
What agent_studio_promote_and_publish does on Ghl
AI agents use agent_studio_promote_and_publish to create or update resources in Ghl, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ghl environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
source | string | — | |
userId | string | — | User ID performing the promotion action |
userName | string | — | User name performing the promotion action |
userEmail | string | — | User email performing the promotion action |
versionId | string | Yes | |
locationId | string | — | Location ID for authorization Defaults to GHL_LOCATION_ID when omitted. |
Parameters from the server's own tool schema.
Why agent_studio_promote_and_publish is rated Medium
An AI agent can call agent_studio_promote_and_publish faster than any human can review: one bad instruction and it creates or modifies resources in Ghl by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs agent_studio_promote_and_publish safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ghl, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_studio_promote_and_publish, this is the rule to start with:
agent_studio_promote_and_publish 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every agent_studio_promote_and_publish call is checked against it from then on.
Questions about agent_studio_promote_and_publish
Promote to Production. It is categorised as a Write tool in the Ghl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
agent_studio_promote_and_publish accepts 6 parameters: source, userId, userName, userEmail, versionId, locationId. Required: versionId. The full parameter table on this page comes from the server's own tool schema.
Register the Ghl MCP server in PolicyLayer and add a rule for agent_studio_promote_and_publish: 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.
agent_studio_promote_and_publish is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the agent_studio_promote_and_publish 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 agent_studio_promote_and_publish. 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.
agent_studio_promote_and_publish is provided by the Ghl MCP server (@aiwerk/mcp-server-ghl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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