Discount code usage within a date range: per-code order count, total discount amount, total revenue. Filter by code if specified.
AI agents call discount_usage_report to retrieve information from Sapo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and reports historical discount usage metrics without creating, modifying, or deleting any data. It is a pure read operation that aggregates existing information for analytical purposes, posing minimal risk even if misused by an AI agent.
From the tool's definition Tool description states it retrieves 'Discount code usage within a date range: per-code order count, total discount amount, total revenue' with optional filtering. The verbs are retrieval-oriented (reports data, does not modify or delete).
Documented attack patterns abuse exactly the kind of access discount_usage_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sapo, and nothing reaches the server without passing your rules. This is the rule we recommend for discount_usage_report:
{
"version": "1",
"default": "deny",
"tools": {
"discount_usage_report": {}
}
}discount_usage_report is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Discount code usage within a date range: per-code order count, total discount amount, total revenue. Filter by code if specified. It is categorised as a Read tool in the Sapo MCP Server, which means it retrieves data without modifying state.
Register the Sapo MCP server in PolicyLayer and add a rule for discount_usage_report: 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 Sapo. Nothing to install.
discount_usage_report 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 discount_usage_report 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 discount_usage_report. 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.
discount_usage_report is provided by the Sapo MCP server (nguyennguyenit/sapo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sapo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
93 Sapo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.