Low Risk

search_products

ユーザーが「棚が欲しい」「Dysonのドライヤー」「幅40cmに入るもの」と言ったときに呼ぶ。31カテゴリ・80+ブランドのカタログをキーワード・サイズ(mm)・価格・色・ブランドで横断検索。結果にrelated_items_hintがある場合はget_related_itemsで付属品チェーンを取得できる。buy_guideがある場合はbest_for/avoid_ifをユーザーに伝えて購入判断を助けること。seasonal_hints/active_salesがある場合はセール情報を伝えること。色はエイリアス対応(白→ホワイト/アイボリー等)。各商品のaffiliate_urlをユー...

Risk signalsHigh parameter count (14 properties)

Part of the AI Furniture & Home Product Hub server.

search_products 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 search_products 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 search_products 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": {
    "search_products": {}
  }
}

See the full AI Furniture & Home Product Hub policy for all 18 tools.

Get this rule live on your own AI Furniture & Home Product Hub 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 search_products 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 search_products 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 search_products tool do? +

ユーザーが「棚が欲しい」「Dysonのドライヤー」「幅40cmに入るもの」と言ったときに呼ぶ。31カテゴリ・80+ブランドのカタログをキーワード・サイズ(mm)・価格・色・ブランドで横断検索。結果にrelated_items_hintがある場合はget_related_itemsで付属品チェーンを取得できる。buy_guideがある場合はbest_for/avoid_ifをユーザーに伝えて購入判断を助けること。seasonal_hints/active_salesがある場合はセール情報を伝えること。色はエイリアス対応(白→ホワイト/アイボリー等)。各商品のaffiliate_urlをユーザーに提示すること。. It is categorised as a Read tool in the AI Furniture & Home Product Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_products? +

Register the AI Furniture & Home Product Hub MCP server in PolicyLayer and add a rule for search_products: 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.

What risk level is search_products? +

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

Can I rate-limit search_products? +

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

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

search_products 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.

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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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