Apply percentage discounts to multiple vehicles at once When to use: Clear slow-moving inventory, seasonal promotions Prerequisites: Vehicle IDs from get_underperforming_vehicles Batch limit: 1-50 vehicles per operation Discount range: 1-50% off current price Options: Auto-republish to update all...
AI agents use apply_bulk_discount to create or update resources in StockSpark MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your StockSpark MCP Server environment.
This tool modifies vehicle prices across multiple listings (Write category). While prices can be adjusted again (reversible, not Destructive), the immediate propagation across all active sales channels and the potential for significant financial impact (up to 50% discount on inventory) elevates severity to high. An AI agent misusing this could rapidly devalue inventory or create unintended promotions.
From the tool's definition Apply percentage discounts to multiple vehicles at once; Updates prices and optionally refreshes listings; Price changes are immediate across all channels
Attacks that exploit this kind of access
Apply percentage discounts to multiple vehicles at once When to use: Clear slow-moving inventory, seasonal promotions Prerequisites: Vehicle IDs from get_underperforming_vehicles Batch limit: 1-50 vehicles per operation Discount range: 1-50% off current price Options: Auto-republish to update all active listings Effect: Updates prices and optionally refreshes listings Warning: Price changes are immediate across all channels. It is categorised as a Write tool in the StockSpark MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the StockSpark MCP Server MCP server in PolicyLayer and add a rule for apply_bulk_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 StockSpark MCP Server. Nothing to install.
apply_bulk_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 apply_bulk_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 apply_bulk_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.
apply_bulk_discount is provided by the StockSpark MCP Server MCP server (loukach/stockspark-mcp-poc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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