This record as markdown: /tools/aiwerk-mcp-server-ghl/conversations-update-conversation.md
What conversations_update_conversation does on Ghl
AI agents use conversations_update_conversation 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 |
|---|---|---|---|
starred | boolean | — | Starred status of the conversation. |
feedback | object | — | |
locationId | string | — | Location ID as string Defaults to GHL_LOCATION_ID when omitted. |
unreadCount | number | — | Count of unread messages in the conversation |
conversationId | string | Yes | Conversation ID as string |
Parameters from the server's own tool schema.
Why conversations_update_conversation is rated Medium
An AI agent can call conversations_update_conversation 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 conversations_update_conversation 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 conversations_update_conversation, this is the rule to start with:
conversations_update_conversation 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 conversations_update_conversation call is checked against it from then on.
Questions about conversations_update_conversation
Update Conversation. 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.
conversations_update_conversation accepts 5 parameters: starred, feedback, locationId, unreadCount, conversationId. Required: conversationId. 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 conversations_update_conversation: 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.
conversations_update_conversation 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 conversations_update_conversation 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 conversations_update_conversation. 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.
conversations_update_conversation 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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