Medium Risk

complete_checkout

Complete checkout with payment and start site provisioning. The checkout must be in "ready" status. Two payment methods: - "stripe_checkout" (default): Returns a short, chat-safe payment URL. Present payment_url to the human — NOT stripe_checkout_url. The raw Stripe URL has a required #fragment t...

Part of the BorealHost server.

complete_checkout can modify BorealHost 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 complete_checkout to create or modify resources in BorealHost. 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 complete_checkout 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 BorealHost.

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

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

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

Complete checkout with payment and start site provisioning. The checkout must be in "ready" status. Two payment methods: - "stripe_checkout" (default): Returns a short, chat-safe payment URL. Present payment_url to the human — NOT stripe_checkout_url. The raw Stripe URL has a required #fragment that chat UIs routinely strip when rendering markdown links, which causes Stripe to show "page not found". payment_url is a short BorealHost redirect that preserves the fragment via HTTP 302. Then poll get_checkout_status() until status becomes "completed". The API key appears in the first poll after payment (shown once, then cleared). - "stripe_payment_method": Charges a Stripe PaymentMethod directly. Requires payment_method_id. On success, returns the API key immediately. Args: checkout_id: Checkout session ID payment_method: "stripe_checkout" or "stripe_payment_method" payment_method_id: Stripe PaymentMethod ID (pm_...). Required only for "stripe_payment_method". Returns (stripe_checkout): {"id": "uuid", "status": "awaiting_payment", "payment_url": "https://borealhost.ai/pay/<id>/?s=<secret>", "stripe_checkout_url": "https://checkout.stripe.com/c/pay/...", "message": "Present payment_url to the human..."} Returns (stripe_payment_method): {"id": "uuid", "status": "completed", "api_key": "bh_...", "api_key_message": "Store this API key securely...", "subscription_id": "uuid", "provisioning_job_id": "uuid"} Errors: VALIDATION_ERROR: Missing payment_method_id for stripe_payment_method FORBIDDEN: Checkout not in "ready" status. It is categorised as a Write tool in the BorealHost MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on complete_checkout? +

Register the BorealHost MCP server in PolicyLayer and add a rule for complete_checkout: 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 BorealHost. Nothing to install.

What risk level is complete_checkout? +

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

Can I rate-limit complete_checkout? +

Yes. Add a rate_limit block to the complete_checkout 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 complete_checkout completely? +

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

complete_checkout is provided by the BorealHost MCP server (pypi:borealhost-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BorealHost tool call.

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