gql_user_by_email
Returns a User by email address (GraphQL).
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-user-by-email.md
What gql_user_by_email does on Thinkific MCP Server
AI agents call gql_user_by_email 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_by_email is rated Low
This tool performs a simple lookup/retrieval of user information by email. It retrieves existing data without creating, modifying, or deleting anything, fitting the Read category.
From the tool's definition Tool description states 'Returns a User by email address' — a retrieval operation with no modification, creation, or deletion. GraphQL query syntax inherently queries data without side effects.
Attacks that exploit this kind of access
The rule that runs gql_user_by_email 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_by_email, this is the rule to start with:
gql_user_by_email 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_by_email call is checked against it from then on.
Questions about gql_user_by_email
Returns a User by email address (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_by_email: 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_by_email 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_by_email 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_by_email. 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_by_email 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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