Create a new shop-level discount (promotion) with a time window. Add items/variations to it afterwards via the Shopee discount/add_discount_item endpoint.
AI agents use add_discount to create or update resources in Mcp Ap2 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Ap2 environment.
This tool creates and modifies discount/promotion records in a shop system, which is reversible data creation. While it affects pricing and could have business impact, it does not delete data (Destructive), execute arbitrary code (Execute), or move money directly (Financial—it configures discounts rather than processing payments).
From the tool's definition Tool description states: 'Create a new shop-level discount (promotion)' — explicitly creates/adds new promotional data to a shop system.
Documented attack patterns abuse exactly the kind of access add_discount gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for add_discount:
{
"version": "1",
"default": "deny",
"tools": {
"add_discount": {
"limits": [
{
"counter": "add_discount_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_discount stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new shop-level discount (promotion) with a time window. Add items/variations to it afterwards via the Shopee discount/add_discount_item endpoint. It is categorised as a Write tool in the Mcp Ap2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for add_discount: 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 Mcp Ap2. Nothing to install.
add_discount 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 add_discount 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 add_discount. 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.
add_discount is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, 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.
1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.