Medium Risk

create-checkout

Create a Stripe Checkout session for the selected products and return the checkout URL.

Part of the Skybridge Ecommerce Example server.

create-checkout can modify Skybridge Ecommerce Example 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 create-checkout to create or modify resources in Skybridge Ecommerce Example. 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 create-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 Skybridge Ecommerce Example.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create-checkout": {
      "limits": [
        {
          "counter": "create-checkout_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Skybridge Ecommerce Example policy for all 3 tools.

Get this rule live on your own Skybridge Ecommerce Example server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create-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 create-checkout tool do? +

Create a Stripe Checkout session for the selected products and return the checkout URL.. It is categorised as a Write tool in the Skybridge Ecommerce Example MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create-checkout? +

Register the Skybridge Ecommerce Example MCP server in PolicyLayer and add a rule for create-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 Skybridge Ecommerce Example. Nothing to install.

What risk level is create-checkout? +

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

Can I rate-limit create-checkout? +

Yes. Add a rate_limit block to the create-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 create-checkout completely? +

Set action: deny in the PolicyLayer policy for create-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 create-checkout? +

create-checkout is provided by the Skybridge Ecommerce Example MCP server (https://ecommerce.skybridge.tech). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Skybridge Ecommerce Example tool call.

Deterministic rules across all 3 Skybridge Ecommerce Example tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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