This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/update-user.md
What update_user does on Thinkific MCP Server
AI agents use update_user to create or update resources in Thinkific MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Thinkific MCP Server environment.
Why update_user is rated Medium
The tool modifies existing user records through the Thinkific REST Admin API. Updates are Write operations—reversible changes to data. Severity is high because user modifications in an educational platform can affect account access, billing, enrollments, and personal information. The context of a course management system handling students and orders amplifies the impact of unauthorized user modifications.
From the tool's definition Tool name is 'update_user' and description states 'Update an existing user', indicating modification of user data. This is reversible (can be updated again) rather than destructive deletion.
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 Thinkific MCP Server, 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 Thinkific MCP Server, apply this rule, and every update_user call is checked against it from then on.
Questions about update_user
Update an existing user. It is categorised as a Write tool in the Thinkific MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Thinkific MCP Server 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 Thinkific MCP Server. 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 Thinkific MCP Server MCP server (ackbarguppi-ai/thinkific-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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