Medium Risk

update_cart_item

Requires checkout:write scope. Change the quantity of a line item in an open cart, or remove it entirely. Set quantity to 0 to remove the item. Get the item_id from get_cart or the cart field in the add_to_cart response. Returns the updated cart state. The per-item quantity ceiling applies here t...

Part of the Kifly — Agentic Commerce & Payments server.

update_cart_item can modify Kifly — Agentic Commerce & Payments data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use update_cart_item to create or modify resources in Kifly — Agentic Commerce & Payments. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call update_cart_item repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Kifly — Agentic Commerce & Payments.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_cart_item": {
      "limits": [
        {
          "counter": "update_cart_item_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access update_cart_item gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so update_cart_item only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the update_cart_item tool do? +

Requires checkout:write scope. Change the quantity of a line item in an open cart, or remove it entirely. Set quantity to 0 to remove the item. Get the item_id from get_cart or the cart field in the add_to_cart response. Returns the updated cart state. The per-item quantity ceiling applies here too — call get_platform_limits to check the current limit. Exceeding it returns 400 QUANTITY_EXCEEDS_LIMIT.. It is categorised as a Write tool in the Kifly — Agentic Commerce & Payments MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_cart_item? +

Register the Kifly — Agentic Commerce & Payments MCP server in PolicyLayer and add a rule for update_cart_item: 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 Kifly — Agentic Commerce & Payments. Nothing to install.

What risk level is update_cart_item? +

update_cart_item is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_cart_item? +

Yes. Add a rate_limit block to the update_cart_item 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.

How do I block update_cart_item completely? +

Set action: deny in the PolicyLayer policy for update_cart_item. 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.

What MCP server provides update_cart_item? +

update_cart_item is provided by the Kifly — Agentic Commerce & Payments MCP server (https://kifly.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kifly — Agentic Commerce & Payments tool call.

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