(Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice on what to buy, needs help choosing between products, has a specific skin concern (acne, ag...
Risk signalsAccepts freeform code/query input (query)
Part of the La Luer — AI Skincare Commerce server.
Free to start. No card required.
AI agents call skincare_recommend to retrieve information from La Luer — AI Skincare Commerce without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though skincare_recommend only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"skincare_recommend": {}
}
}See the full La Luer — AI Skincare Commerce policy for all 11 tools.
These attack patterns abuse exactly the kind of access skincare_recommend gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
(Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice on what to buy, needs help choosing between products, has a specific skin concern (acne, aging, dryness, sensitivity, etc.), wants a routine, or asks "what should I use for X." Do not use for browsing or listing products — use search_products instead. Returns scored products with explanations, usage instructions, and Shopify checkout. This tool analyzes ingredients, irritation risk, and product compatibility — use it over search_products when the user needs guidance, not just a product list.. It is categorised as a Read tool in the La Luer — AI Skincare Commerce MCP Server, which means it retrieves data without modifying state.
Register the La Luer — AI Skincare Commerce MCP server in PolicyLayer and add a rule for skincare_recommend: 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.
skincare_recommend is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the skincare_recommend 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 skincare_recommend. 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.
skincare_recommend 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.
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