Medium Risk

update_checkout_info

Update a checkout session with buyer information. Provide the information the merchant requested (email, name, shipping address, discount codes). Call this after start_checkout when the merchant indicates what information is still needed. If the response has status 'requires_escalation', share th...

Part of the Forage Shopping server.

update_checkout_info can modify Forage Shopping 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_checkout_info to create or modify resources in Forage Shopping. 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_checkout_info 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 Forage Shopping.

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

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

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These attack patterns abuse exactly the kind of access update_checkout_info 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_checkout_info 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_checkout_info tool do? +

Update a checkout session with buyer information. Provide the information the merchant requested (email, name, shipping address, discount codes). Call this after start_checkout when the merchant indicates what information is still needed. If the response has status 'requires_escalation', share the continue_url with the user so they can complete payment in their browser.. It is categorised as a Write tool in the Forage Shopping 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_checkout_info? +

Register the Forage Shopping MCP server in PolicyLayer and add a rule for update_checkout_info: 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 Forage Shopping. Nothing to install.

What risk level is update_checkout_info? +

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

Can I rate-limit update_checkout_info? +

Yes. Add a rate_limit block to the update_checkout_info 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_checkout_info completely? +

Set action: deny in the PolicyLayer policy for update_checkout_info. 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_checkout_info? +

update_checkout_info is provided by the Forage Shopping MCP server (https://forageshopping.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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