Retrieve and list all offer-type products from a checkout page. The checkout_id is provided through the environment variable CHECKOUT_ID. Returns an array of offer objects containing the id, name, description, value, and image. This tool should be used every time the user asks for the list of pro...
AI agents call list_checkout_offers to retrieve information from Customer Registration MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries product/offer data from a checkout page and returns information (id, name, description, value, image). It has no side effects, creates no modifications, executes no code, and cannot delete data. The operation is a simple data retrieval, placing it firmly in the Read category with low severity since misuse would only expose product information already intended for customers.
From the tool's definition Tool 'list_checkout_offers' explicitly retrieves and returns an array of offer objects without modifying, deleting, or executing operations. The verb 'list' and 'retrieve' confirm read-only semantics.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Retrieve and list all offer-type products from a checkout page. The checkout_id is provided through the environment variable CHECKOUT_ID. Returns an array of offer objects containing the id, name, description, value, and image. This tool should be used every time the user asks for the list of products, offers, products options or any other product-type doubt. It is categorised as a Read tool in the Customer Registration MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Customer Registration MCP Server MCP server in PolicyLayer and add a rule for list_checkout_offers: 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 Customer Registration MCP Server. Nothing to install.
list_checkout_offers 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_checkout_offers 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_checkout_offers. 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_checkout_offers is provided by the Customer Registration MCP Server MCP server (rodrigoai/mcpnova). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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