Update a product variant (price, stock, sku, weight)
AI agents use update_product_variant 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 modifies product data (price, inventory, SKU, weight) but does not delete or irreversibly destroy information. Updates are reversible through subsequent corrections. However, severity is high because unintended price or stock updates on an e-commerce platform could cause significant business impact (revenue loss, stockouts, customer dissatisfaction).
From the tool's definition Tool name 'update_product_variant' and description explicitly states it 'Update[s] a product variant' with modifiable fields including 'price, stock, sku, weight'—these are reversible modifications to product data.
Documented attack patterns abuse exactly the kind of access update_product_variant 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 update_product_variant:
{
"version": "1",
"default": "deny",
"tools": {
"update_product_variant": {
"limits": [
{
"counter": "update_product_variant_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_product_variant 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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Update a product variant (price, stock, sku, weight). 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 update_product_variant: 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.
update_product_variant 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 update_product_variant 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 update_product_variant. 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.
update_product_variant 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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