Low Risk

check_inventory

Check if a product is currently available. Uses Shopify Storefront API to verify real-time stock status. Use when a customer asks 'is MIRA in stock?' or before recommending a product.

Part of the La Luer — AI Skincare Commerce server.

check_inventory is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call check_inventory 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 check_inventory 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "check_inventory": {}
  }
}

See the full La Luer — AI Skincare Commerce policy for all 11 tools.

Get this rule live on your own La Luer — AI Skincare Commerce 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 check_inventory 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 check_inventory only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the check_inventory tool do? +

Check if a product is currently available. Uses Shopify Storefront API to verify real-time stock status. Use when a customer asks 'is MIRA in stock?' or before recommending a product.. It is categorised as a Read tool in the La Luer — AI Skincare Commerce MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_inventory? +

Register the La Luer — AI Skincare Commerce MCP server in PolicyLayer and add a rule for check_inventory: 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.

What risk level is check_inventory? +

check_inventory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit check_inventory? +

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

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

check_inventory 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.

Enforce policy on every La Luer — AI Skincare Commerce tool call.

Deterministic rules across all 11 La Luer — AI Skincare Commerce tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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