list_bundles
List course bundles on the Thinkific site.
This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/list-bundles.md
What list_bundles does on Thinkific MCP Server
AI agents call list_bundles 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 list_bundles is rated Low
This tool queries and returns a list of existing course bundles without modifying, deleting, or executing any operations. It is purely a read operation with minimal risk—an agent retrieving bundle information cannot cause harm or unintended state changes.
From the tool's definition Tool name 'list_bundles' and description 'List course bundles on the Thinkific site' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs list_bundles 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 list_bundles, this is the rule to start with:
list_bundles 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 list_bundles call is checked against it from then on.
Questions about list_bundles
List course bundles on the Thinkific site. 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 list_bundles: 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.
list_bundles 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 list_bundles 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 list_bundles. 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.
list_bundles 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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