AI agents use update_quantity to create or update resources in Rami Levy MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rami Levy MCP Server environment.
This tool modifies cart contents by changing item quantities, which is a reversible Write operation. It does not delete data (thus not Destructive), does not execute arbitrary code (thus not Execute), and does not involve financial transactions directly (though it prepares for checkout).
From the tool's definition Tool name 'update_quantity' and description 'Update the quantity of an item in the cart' indicate modification of cart state.
Documented attack patterns abuse exactly the kind of access update_quantity gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Rami Levy MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_quantity:
{
"version": "1",
"default": "deny",
"tools": {
"update_quantity": {
"limits": [
{
"counter": "update_quantity_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_quantity 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 the quantity of an item in the cart. It is categorised as a Write tool in the Rami Levy MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rami Levy MCP Server MCP server in PolicyLayer and add a rule for update_quantity: 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 Rami Levy MCP Server. Nothing to install.
update_quantity 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_quantity 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_quantity. 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_quantity is provided by the Rami Levy MCP Server MCP server (shilomagen/rami-levy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Rami Levy MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Rami Levy MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.