Create a checkout URL for one or more products. Pass variant IDs (items) and/or product URLs (product_urls). When a product URL is provided (e.g. https://laluer.com/products/mira), the tool resolves it to a variant ID automatically — no catalog import needed. Supports discount codes, cart notes, ...
Risk signalsAccepts URL/endpoint input (product_urls[].url) · High parameter count (10 properties)
Part of the La Luer — AI Skincare Commerce server.
Free to start. No card required.
AI agents use create_checkout to create or modify resources in La Luer — AI Skincare Commerce. 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 La Luer — AI Skincare Commerce.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"create_checkout": {
"limits": [
{
"counter": "create_checkout_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full La Luer — AI Skincare Commerce policy for all 11 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:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Create a checkout URL for one or more products. Pass variant IDs (items) and/or product URLs (product_urls). When a product URL is provided (e.g. https://laluer.com/products/mira), the tool resolves it to a variant ID automatically — no catalog import needed. Supports discount codes, cart notes, and selling plans. Do not use unless the user wants to buy — use search_products or skincare_recommend first. Returns a direct Shopify checkout link the user can click to buy.. It is categorised as a Write tool in the La Luer — AI Skincare Commerce MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the La Luer — AI Skincare 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 La Luer — AI Skincare Commerce. Nothing to install.
create_checkout is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
create_checkout is provided by the La Luer — AI Skincare Commerce MCP server (https://searchshopai-mcp.fly.dev/mcp/la-luer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 La Luer — AI Skincare Commerce 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.