[Amazon 新品榜] 拉某类目的 New Releases——上市 30 天内卖得最好的 Top-50 ASIN(后端硬上限,不返 100 条)。 Use when: 用户说"X 类目新品""有没有黑马新品""最近上架卖得好的""趋势新品方向""新进竞品"；GTM 选品里捕捉新切入角度；竞品雷达里发现新进入者。 Don't use: 看长青款（用 list_bestsellers）；看类目全部商品（用 list_category_products）；只知道关键词不知道类目（先 search_categories）。 Returns: data.json[0].data.{ refta...
Part of the Amazon Mcp server.
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AI agents call list_new_releases 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_new_releases 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": {
"list_new_releases": {}
}
}See the full Amazon Mcp policy for all 20 tools.
These attack patterns abuse exactly the kind of access list_new_releases 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.
[Amazon 新品榜] 拉某类目的 New Releases——上市 30 天内卖得最好的 Top-50 ASIN(后端硬上限,不返 100 条)。 Use when: 用户说"X 类目新品""有没有黑马新品""最近上架卖得好的""趋势新品方向""新进竞品"；GTM 选品里捕捉新切入角度；竞品雷达里发现新进入者。 Don't use: 看长青款（用 list_bestsellers）；看类目全部商品（用 list_category_products）；只知道关键词不知道类目（先 search_categories）。 Returns: data.json[0].data.{ reftag='zg_bsnr_g_<slug>', recsList } — recsList 是字符串形式的 JSON 数组，需二次 parse；每条 { id, metadataMap.{ render.zg.rank, ... } }。 Pair with: ↑ categorySlug 同 list_bestsellers；↓ 把 id (ASIN) 喂 get_amazon_product 看为什么能上新品榜（卖点、价格、变体策略）。 Cost: ~1 积点/次, ~5s。. It is categorised as a Read tool in the Amazon Mcp MCP Server, which means it retrieves data without modifying state.
Register the Amazon MCP server in PolicyLayer and add a rule for list_new_releases: 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.
list_new_releases 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 list_new_releases 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 list_new_releases. 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.
list_new_releases 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.
Deterministic rules across all 20 Amazon Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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