Low Risk

list_bestsellers

[Amazon 热销榜] 拉某类目的 Best Sellers Top-50,含 24h 排名变化。 Use when: 用户说"X 类目热销榜""哪些是该类目龙头""有没有黑马冲上来""benchmark 卖得最好的产品";选品时定基准品;竞品雷达里追踪类目龙头排名变化。 Don't use: 看新品(用 list_new_releases);想要类目下完整商品列表而非 Top 50(用 list_category_products);只知道关键词不知道类目(用 search_categories 先找类目)。 Returns: data.json[0].data.{ reftag, ...

Part of the Amazon Mcp server.

list_bestsellers 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 list_bestsellers to retrieve information from Amazon Mcp 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 list_bestsellers 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": {
    "list_bestsellers": {}
  }
}

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These attack patterns abuse exactly the kind of access list_bestsellers gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so list_bestsellers 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 list_bestsellers tool do? +

[Amazon 热销榜] 拉某类目的 Best Sellers Top-50,含 24h 排名变化。 Use when: 用户说"X 类目热销榜""哪些是该类目龙头""有没有黑马冲上来""benchmark 卖得最好的产品";选品时定基准品;竞品雷达里追踪类目龙头排名变化。 Don't use: 看新品(用 list_new_releases);想要类目下完整商品列表而非 Top 50(用 list_category_products);只知道关键词不知道类目(用 search_categories 先找类目)。 Returns: data.json[0].data.{ reftag, recsList } — recsList 是字符串形式的 JSON 数组,需要二次 parse;每条 { id, metadataMap.{ render.zg.rank, currentSalesRank, percentageChange, twentyFourHourOldSalesRank } }。 Pair with: ↑ categorySlug 需要用户提供或从场景推测(如 'electronics' / 'home-garden' / 'beauty');↓ 把 id (ASIN) 喂 get_amazon_product 拆单品。 Cost: ~1 积点/次, ~5s。 Tips: categorySlug 是 Amazon URL 路径里的英文短横线串,从 amazon.com/Best-Sellers 顶部导航能看到。. It is categorised as a Read tool in the Amazon Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_bestsellers? +

Register the Amazon MCP server in PolicyLayer and add a rule for list_bestsellers: 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 Amazon Mcp. Nothing to install.

What risk level is list_bestsellers? +

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

Can I rate-limit list_bestsellers? +

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

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

list_bestsellers is provided by the Amazon MCP server (https://mcp.pangolinfo.com/mcp?api_key={api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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