update_user
Use this when the user wants to update a user's information such as name, job function, phone, language, or role. Changes apply immediately. Do NOT use this for inviting new users (use invite_user) or listing users (use list_users).
This record as markdown: /tools/doit/update-user.md
What update_user does on Doit
AI agents use update_user 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 |
|---|---|---|---|
id | string | Yes | The unique ID of the user to update. |
phone | string | — | The user's phone number including country calling code (e.g. +14155551234, +447911123456). Must start with a valid country calling code such as +1, +44, or +91. |
roleId | string | — | The ID of the role to assign to the user. |
language | string | — | The user's preferred language. Accepted values: en, ja, es. |
lastName | string | — | The user's last name. |
firstName | string | — | The user's first name. |
jobFunction | string | — | The user's job function. Accepted values: Data Engineer / Data Analysts, Executive Team, Finance / Accounting, Founder, Legal / Purchasing, Management, Sales / |
phoneExtension | string | — | The user's phone extension. Digits only, up to 15 characters. |
Parameters from the server's own tool schema.
Why update_user is rated Medium
An AI agent can call update_user 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.
Attacks that exploit this kind of access
The rule that runs update_user 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_user, this is the rule to start with:
update_user 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_user call is checked against it from then on.
Questions about update_user
Use this when the user wants to update a user's information such as name, job function, phone, language, or role. Changes apply immediately. Do NOT use this for inviting new users (use invite_user) or listing users (use list_users). 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_user accepts 8 parameters: id, phone, roleId, language, lastName, firstName, jobFunction, phoneExtension. Required: id. 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_user: 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_user 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_user 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_user. 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_user 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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