update_customer
Read and update your organization's general settings. Partially updates the general settings and contact info of the customer identified by {customerId}. {customerId} must match the customer resolved from the bearer token; a token scoped to a different customer gets 403, even if that customer wou...
This record as markdown: /tools/doit/update-customer.md
What update_customer does on Doit
AI agents use update_customer to create or update resources in Doit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Doit environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
contact | object | — | Customer point-of-contact details. Shared by the `getCustomer` response and the `updateCustomer` request body so a value is always read and written at the same |
urlSlug | string | — | The customer's URL display name. An explicit empty string removes the active slug; a non-empty value must be 3-12 characters of lowercase letters, digits, or da |
settings | object | — | Customer settings. Shared by the `getCustomer` response and the `updateCustomer` request body so a value is always read and written at the same path. `currency |
customerId | string | Yes | |
customerContext | string | — | Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users. |
Parameters from the server's own tool schema.
Why update_customer is rated Medium
An AI agent can call update_customer faster than any human can review: one bad instruction and it creates or modifies resources in Doit by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs update_customer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_customer, this is the rule to start with:
update_customer 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 Doit, apply this rule, and every update_customer call is checked against it from then on.
Questions about update_customer
Read and update your organization's general settings. Partially updates the general settings and contact info of the customer identified by {customerId}. {customerId} must match the customer resolved from the bearer token; a token scoped to a different customer gets 403, even if that customer would otherwise be reachable through a reseller/MTS relationship. Requires the Settings permission and DoiT API access (platform:externalApi); updating allowedInviteDomains additionally requires the UsersManager permission. The request body must use application/merge-patch+json (RFC 7396): an omitted field leaves the current value unchanged, and an explicit null also leaves it unchanged, except for urlSlug, where an explicit empty string removes the customer's active URL slug rather than leaving it unchanged. Fields are nested exactly as getCustomer returns them - currency and allowedInviteDomains under settings, emails under contact - so every value is read and written at the same path. settings.currency accepts only the codes listed in the schema and cannot be cleared; allowedInviteDomains and contact.emails are cleared with an empty array. It is categorised as a Write tool in the Doit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_customer accepts 5 parameters: contact, urlSlug, settings, customerId, customerContext. Required: customerId. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for update_customer: 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 Doit. Nothing to install.
update_customer 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_customer 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_customer. 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_customer is provided by the Doit MCP server (@doitintl/doit-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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