AI agents call get_cart to retrieve information from Tuma250 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the current state of a shopping cart—a read-only query with no side effects. Even though the description is empty, the tool name is explicit and consistent with the server's shopping cart management purpose. Misuse would only expose the user's own cart contents, posing minimal security risk.
From the tool's definition Tool name 'get_cart' in a grocery shopping context clearly retrieves cart contents. No description provided, but the sibling tools show this server manages shopping carts and order history.
Attacks that exploit this kind of access
get_cart. It is categorised as a Read tool in the Tuma250 MCP Server, which means it retrieves data without modifying state.
Register the Tuma250 MCP server in PolicyLayer and add a rule for get_cart: 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 Tuma250. Nothing to install.
get_cart 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 get_cart 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 get_cart. 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.
get_cart is provided by the Tuma250 MCP server (yann-j/tuma250_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.
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