Update prices for an item (or its models/variants). Pass price_list entries with model_id 0 for single-SKU items.
AI agents use update_product_price to create or update resources in Mcp Afip — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Afip environment.
This tool modifies product pricing information reversibly—prices can be changed again later. While price changes can have business consequences (financial impact on sales), the tool itself performs a data write operation rather than moving money or creating financial obligations.
From the tool's definition Tool name is 'update_product_price' and description states 'Update prices for an item (or its models/variants)'. The verb 'Update' clearly indicates modification of existing data.
Documented attack patterns abuse exactly the kind of access update_product_price gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for update_product_price:
{
"version": "1",
"default": "deny",
"tools": {
"update_product_price": {
"limits": [
{
"counter": "update_product_price_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_product_price 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 prices for an item (or its models/variants). Pass price_list entries with model_id 0 for single-SKU items. It is categorised as a Write tool in the Mcp Afip MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for update_product_price: 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 Afip. Nothing to install.
update_product_price 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_price 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_price. 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_price is provided by the Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Afip, 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 Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.