This record as markdown: /tools/ghl/update-message-status.md
What update_message_status does on Ghl
AI agents use update_message_status 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 |
|---|---|---|---|
error | object | — | Error details if status is failed |
status | string | Yes | New status for the message |
messageId | string | Yes | The unique ID of the message to update |
recipients | array | — | Email delivery status for additional recipients |
emailMessageId | string | — | Email message ID if updating email status |
Parameters from the server's own tool schema.
Why update_message_status is rated Medium
This tool updates message metadata (delivery status) rather than creating new data or deleting it. The operation is reversible - status can be changed again. While it modifies data, it lacks the irreversible destructiveness of delete operations and the external execution risk of Execute category tools.
From the tool's definition Tool description states 'Update the delivery status of a message' - this modifies the state of an existing message record reversibly.
Risk signalsAccepts freeform code/query input (error.code)
Attacks that exploit this kind of access
The rule that runs update_message_status 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 update_message_status, this is the rule to start with:
update_message_status 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 update_message_status call is checked against it from then on.
Questions about update_message_status
Update the delivery status of a message. 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.
update_message_status accepts 5 parameters: error, status, messageId, recipients, emailMessageId. Required: status, messageId. 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 update_message_status: 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.
update_message_status 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 update_message_status 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 update_message_status. 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.
update_message_status is provided by the Ghl MCP server (ghl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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