AI agents use update_user_attribute to create or update resources in AdButler — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AdButler environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | number | Yes | User attribute ID |
type | string | — | Data type of the field |
label | string | — | Descriptive label for the field |
user_db_id | number | Yes | User database ID |
Parameters from the server's own tool schema.
This tool modifies existing user attributes in a database, which is a reversible write operation. It does not retrieve data (Read), execute arbitrary code (Execute), permanently delete data (Destructive), or move money (Financial).
From the tool's definition Tool name 'update_user_attribute' and description 'Update an existing user attribute in a user database' directly indicate modification of data. The verb 'update' and context of modifying user database records confirms write operation.
Attacks that exploit this kind of access
Update an existing user attribute in a user database. It is categorised as a Write tool in the AdButler MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_user_attribute accepts 4 parameters: id, type, label, user_db_id. Required: id, user_db_id. The full parameter table on this page comes from the server's own tool schema.
Register the AdButler MCP server in PolicyLayer and add a rule for update_user_attribute: 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 AdButler. Nothing to install.
update_user_attribute 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_attribute 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_attribute. 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_attribute is provided by the AdButler MCP server (adbutler/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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