gql_course
Returns a Course by ID (GraphQL).
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-course.md
What gql_course does on Thinkific MCP Server
AI agents call gql_course 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_course is rated Low
This tool queries and fetches course information by ID with no side effects. It is a straightforward read operation that does not create, modify, delete, or execute operations. The low severity reflects minimal blast radius—an AI agent cannot cause harm by retrieving course data alone.
From the tool's definition Tool name 'gql_course' and description 'Returns a Course by ID (GraphQL)' indicate a retrieval operation. The verb 'Returns' and the query-like nature (GraphQL fetch) show this retrieves data without modification.
Attacks that exploit this kind of access
The rule that runs gql_course 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_course, this is the rule to start with:
gql_course 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_course call is checked against it from then on.
Questions about gql_course
Returns a Course by ID (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_course: 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_course 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_course 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_course. 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_course 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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