「この写真の棚は何？」「持ってる棚に合うボックスを知りたい」のときに呼ぶ。Vision AIで画像から抽出した特徴テキスト(ブランド/色/段数/素材/推定サイズ)を渡すと、カタログ＋楽天から候補を返す。型番特定時は内寸・消耗品・互換ボックス情報付き。
Part of the AI Furniture & Home Product Hub server.
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AI agents call identify_product to retrieve information from AI Furniture & Home Product Hub 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 identify_product 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": {
"identify_product": {}
}
}See the full AI Furniture & Home Product Hub policy for all 18 tools.
These attack patterns abuse exactly the kind of access identify_product 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.
「この写真の棚は何？」「持ってる棚に合うボックスを知りたい」のときに呼ぶ。Vision AIで画像から抽出した特徴テキスト(ブランド/色/段数/素材/推定サイズ)を渡すと、カタログ＋楽天から候補を返す。型番特定時は内寸・消耗品・互換ボックス情報付き。. It is categorised as a Read tool in the AI Furniture & Home Product Hub MCP Server, which means it retrieves data without modifying state.
Register the AI Furniture & Home Product Hub MCP server in PolicyLayer and add a rule for identify_product: 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 AI Furniture & Home Product Hub. Nothing to install.
identify_product 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 identify_product 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 identify_product. 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.
identify_product is provided by the AI Furniture & Home Product Hub MCP server (https://ai-furniture-hub.onrender.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 18 AI Furniture & Home Product Hub tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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