This record as markdown: /tools/aiwerk-mcp-server-ghl/opportunities-update-opportunity.md
What opportunities_update_opportunity does on Ghl
AI agents use opportunities_update_opportunity 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 |
|---|---|---|---|
id | string | Yes | Opportunity Id |
name | string | — | |
status | string | — | |
assignedTo | string | — | |
pipelineId | string | — | pipeline Id |
customFields | array | — | Update custom fields to opportunities. |
monetaryValue | number | — | |
pipelineStageId | string | — |
Parameters from the server's own tool schema.
Why opportunities_update_opportunity is rated Medium
An AI agent can call opportunities_update_opportunity 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 opportunities_update_opportunity 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 opportunities_update_opportunity, this is the rule to start with:
opportunities_update_opportunity 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 opportunities_update_opportunity call is checked against it from then on.
Questions about opportunities_update_opportunity
Update Opportunity. 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.
opportunities_update_opportunity accepts 8 parameters: id, name, status, assignedTo, pipelineId, customFields, monetaryValue, pipelineStageId. Required: id. 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 opportunities_update_opportunity: 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.
opportunities_update_opportunity 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 opportunities_update_opportunity 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 opportunities_update_opportunity. 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.
opportunities_update_opportunity 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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