create_shopping_list_from_text
AI agents use create_shopping_list_from_text to create or update resources in Teachermall — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Teachermall environment.
The tool name and position within a teachermall shopping context strongly suggest it creates or persists a shopping list, which is reversible data modification (Write). Severity is medium because misuse could create unwanted shopping lists or financial commitments, but lists can typically be edited or deleted.
From the tool's definition Tool name 'create_shopping_list_from_text' contains 'create', indicating data creation. Description is empty, limiting confidence. Context shows this is a shopping/product recommendation server.
Attacks that exploit this kind of access
create_shopping_list_from_text. It is categorised as a Write tool in the Teachermall MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Teachermall MCP server in PolicyLayer and add a rule for create_shopping_list_from_text: 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 Teachermall. Nothing to install.
create_shopping_list_from_text is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_shopping_list_from_text 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 create_shopping_list_from_text. 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.
create_shopping_list_from_text is provided by the Teachermall MCP server (reallygood83/teachermall-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →