gql_user
Returns a User by their global ID (gid) (GraphQL).
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-user.md
What gql_user does on Thinkific MCP Server
AI agents call gql_user to retrieve information from Thinkific MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why gql_user is rated Low
This tool performs a simple lookup query to fetch a user record by ID. It has no side effects, does not modify data, execute commands, or affect financial systems. It is a straightforward read operation, with minimal blast radius even if misused by an AI agent (at worst, it could retrieve unauthorized user data, but cannot alter or delete records).
From the tool's definition The tool "Returns a User by their global ID (gid)" and the descriptor "GraphQL" indicate a retrieval operation that queries and retrieves user data without modifying it.
Attacks that exploit this kind of access
The rule that runs gql_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 gql_user, this is the rule to start with:
gql_user is read-only, so it stays allowed. 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 gql_user call is checked against it from then on.
Questions about gql_user
Returns a User by their global ID (gid) (GraphQL). It is categorised as a Read tool in the Thinkific MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Thinkific MCP Server MCP server in PolicyLayer and add a rule for gql_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.
gql_user is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gql_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 gql_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.
gql_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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