Create a discount code tied to an existing price rule (the customer-facing string like
AI agents use create_discount_code 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 stores new discount codes, which is a reversible write operation. While it doesn't delete data (not Destructive) or directly move money (not Financial), it does create promotional data that could impact revenue if misused by an agent (e.g., generating excessive discounts).
From the tool's definition Tool name 'create_discount_code' and description indicates creation of a discount code tied to an existing price rule. This modifies the system's discount offerings, creating new data that affects pricing/promotions.
Documented attack patterns abuse exactly the kind of access create_discount_code 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 create_discount_code:
{
"version": "1",
"default": "deny",
"tools": {
"create_discount_code": {
"limits": [
{
"counter": "create_discount_code_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_discount_code 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 discount code tied to an existing price rule (the customer-facing string like. 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 create_discount_code: 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.
create_discount_code 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_discount_code 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_discount_code. 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_discount_code 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.
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1300 Mcp Ap2 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.