This record as markdown: /tools/ghl/update-location-custom-value.md
What update_location_custom_value does on Ghl
AI agents use update_location_custom_value 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 |
|---|---|---|---|
name | string | Yes | Updated name |
value | string | Yes | Updated value |
locationId | string | Yes | The location ID |
customValueId | string | Yes | The custom value ID to update |
Parameters from the server's own tool schema.
Why update_location_custom_value is rated Medium
This tool creates or modifies data (a custom value associated with a location) in a reversible manner. It aligns with the Write category: creates or modifies data reversibly. Severity is medium because unauthorized updates to location configuration could affect business operations or customer data integrity, but the change is reversible via another update operation.
From the tool's definition Tool name and description: 'update_location_custom_value' with 'Update an existing custom value' indicates reversible modification of data fields.
Attacks that exploit this kind of access
The rule that runs update_location_custom_value 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_location_custom_value, this is the rule to start with:
update_location_custom_value 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_location_custom_value call is checked against it from then on.
Questions about update_location_custom_value
Update an existing custom value. 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_location_custom_value accepts 4 parameters: name, value, locationId, customValueId. Required: name, value, locationId, customValueId. 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_location_custom_value: 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_location_custom_value 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_location_custom_value 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_location_custom_value. 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_location_custom_value 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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