This record as markdown: /tools/webcake-storefront/delete-courses.md
What delete_courses does on Webcake Storefront
AI agents call delete_courses to permanently remove resources in Webcake Storefront, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why delete_courses is rated Critical
This tool permanently removes courses from the storefront, which cannot be undone. Deletion is a destructive operation with high blast radius if misused by an AI agent—courses could be bulk-deleted accidentally or maliciously, causing data loss. This is more severe than Write or Execute operations and falls clearly into the Destructive category.
From the tool's definition Tool name 'delete_courses' with description 'Delete multiple courses by id' explicitly performs irreversible deletion of data records.
Attacks that exploit this kind of access
The rule that runs delete_courses safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Webcake Storefront, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_courses, this is the rule to start with:
delete_courses is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Webcake Storefront, apply this rule, and every delete_courses call is checked against it from then on.
Questions about delete_courses
Delete multiple courses by id. It is categorised as a Destructive tool in the Webcake Storefront MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Webcake Storefront MCP server in PolicyLayer and add a rule for delete_courses: 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 Webcake Storefront. Nothing to install.
delete_courses is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_courses 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 delete_courses. 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.
delete_courses is provided by the Webcake Storefront MCP server (webcake-storefront-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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