Low Risk

get_related_items

search_productsで商品を見つけた後、「他に何が必要?」を提案するために呼ぶ。必須付属品(required=true: フィルター/ケーブル等)と推奨品(保護マット/パーツ等)を分けて返す。各関連アイテムは楽天検索結果付きで即提案可能。depth=2で「関連の関連」まで展開。required=trueのアイテムは必ずユーザーに伝えること。

Part of the AI Furniture & Home Product Hub server.

get_related_items 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 get_related_items 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 get_related_items 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": {
    "get_related_items": {}
  }
}

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These attack patterns abuse exactly the kind of access get_related_items 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 get_related_items 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 get_related_items tool do? +

search_productsで商品を見つけた後、「他に何が必要?」を提案するために呼ぶ。必須付属品(required=true: フィルター/ケーブル等)と推奨品(保護マット/パーツ等)を分けて返す。各関連アイテムは楽天検索結果付きで即提案可能。depth=2で「関連の関連」まで展開。required=trueのアイテムは必ずユーザーに伝えること。. 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 get_related_items? +

Register the AI Furniture & Home Product Hub MCP server in PolicyLayer and add a rule for get_related_items: 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 get_related_items? +

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

Can I rate-limit get_related_items? +

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

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

get_related_items 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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