create_role
Manage user permissions and access levels in your organization. Creates a custom role in the authenticated customer with the given permission IDs. Permission IDs are the permissions values returned by GET /iam/v1/roles. A service account of a parent tenant can create the role in a descendant tena...
This record as markdown: /tools/doit/create-role.md
What create_role does on Doit
AI agents use create_role 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 |
|---|---|---|---|
name | string | Yes | The name of the role. Must be nonblank, contain no leading or trailing whitespace, and be unique among the customer's roles, including preset roles. |
description | string | — | The description of the role. |
permissions | array | — | Permission IDs to assign to the role, as returned in `permissions` by `GET /iam/v1/roles`. Duplicate IDs are rejected. Input order is preserved. Omission or an |
Idempotency-Key | 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 create_role is rated Medium
An AI agent can call create_role 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 create_role 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 create_role, this is the rule to start with:
create_role 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 create_role call is checked against it from then on.
Questions about create_role
Manage user permissions and access levels in your organization. Creates a custom role in the authenticated customer with the given permission IDs. Permission IDs are the permissions values returned by GET /iam/v1/roles. A service account of a parent tenant can create the role in a descendant tenant by setting X-Tenant-Id to that tenant's customer ID. Requires the Idempotency-Key header so a retried request does not create a second role. 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.
create_role accepts 5 parameters: name, description, permissions, Idempotency-Key, customerContext. Required: name, Idempotency-Key. 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 create_role: 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.
create_role 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 create_role 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 create_role. 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.
create_role 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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