Medium Risk

create_checkout

Create a live Stripe (or Gumroad) checkout URL for the buyer. Pass referral_code to credit an affiliate.

Part of the Agent Commerce Mcp server.

create_checkout can modify Agent Commerce Mcp data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE AGENT COMMERCE MCP →

Free to start. No card required.

AI agents use create_checkout to create or modify resources in Agent Commerce Mcp. 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 Agent Commerce Mcp.

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 Agent Commerce Mcp policy for all 13 tools.

Get this rule live on your own Agent Commerce Mcp server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY AGENT COMMERCE MCP →

View all 13 tools →

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.

SECURE AGENT COMMERCE MCP →

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 live Stripe (or Gumroad) checkout URL for the buyer. Pass referral_code to credit an affiliate.. It is categorised as a Write tool in the Agent Commerce Mcp 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 Agent Commerce 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 Agent Commerce Mcp. 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 Agent Commerce MCP server (agent-commerce-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Commerce Mcp tool call.

Deterministic rules across all 13 Agent Commerce Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.