gql_lesson
Returns a Lesson by ID (GraphQL).
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-lesson.md
What gql_lesson does on Thinkific MCP Server
AI agents call gql_lesson 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_lesson is rated Low
This tool queries and returns lesson data by its identifier using GraphQL. The verb 'Returns' and the read-only nature of fetching a single lesson record by ID classify it as a Read operation. No data is created, modified, deleted, or destroyed. The blast radius is minimal—it merely retrieves existing data from the Thinkific platform.
From the tool's definition Tool name 'gql_lesson' and description 'Returns a Lesson by ID' indicate a data retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs gql_lesson 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_lesson, this is the rule to start with:
gql_lesson 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_lesson call is checked against it from then on.
Questions about gql_lesson
Returns a Lesson 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_lesson: 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_lesson 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_lesson 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_lesson. 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_lesson 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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