saas_api_update_rebilling
Update Rebilling (requires an agency-level token, not a location PIT)
This record as markdown: /tools/aiwerk-mcp-server-ghl/saas-api-update-rebilling.md
What saas_api_update_rebilling does on Ghl
AI agents use saas_api_update_rebilling 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 |
|---|---|---|---|
config | object | Yes | Configuration for rebilling settings |
product | string | Yes | The product to update rebilling for |
companyId | string | Yes | |
locationIds | array | Yes | Array of location IDs to update rebilling for |
Parameters from the server's own tool schema.
Why saas_api_update_rebilling is rated Medium
An AI agent can call saas_api_update_rebilling 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.
Risk signalsAccepts raw HTML/template content (config.markup)
Attacks that exploit this kind of access
The rule that runs saas_api_update_rebilling 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 saas_api_update_rebilling, this is the rule to start with:
saas_api_update_rebilling 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 saas_api_update_rebilling call is checked against it from then on.
Questions about saas_api_update_rebilling
Update Rebilling (requires an agency-level token, not a location PIT). 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.
saas_api_update_rebilling accepts 4 parameters: config, product, companyId, locationIds. Required: config, product, companyId, locationIds. 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 saas_api_update_rebilling: 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.
saas_api_update_rebilling 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 saas_api_update_rebilling 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 saas_api_update_rebilling. 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.
saas_api_update_rebilling 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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