# amazon_product

Retrieve Amazon product details. Returns normalized product details for an Amazon ASIN on amazon.com, including pricing, availability, overview data, inline review samples, and descriptive content.

Agent View of the PolicyLayer registry record for `amazon_product`. HTML page: https://policylayer.com/tools/crawlora-mcp/amazon-product

## Facts

- Tool: `amazon_product`
- Server: Crawlora (`crawlora-mcp`) — https://policylayer.com/tools/crawlora-mcp.md
- Install: `npx -y crawlora-mcp`
- Homepage: https://www.npmjs.com/package/crawlora-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 3 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `asin` | string | yes | Amazon ASIN |
| `currency` | string | no | Amazon currency |
| `language` | string | no | Amazon language |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "amazon_product",
    "arguments": {
      "asin": "<asin>"
    }
  }
}
```

## Why amazon_product is rated Low

Even though amazon_product only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

## Use case

AI agents call amazon_product to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Crawlora:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "amazon_product": {}
  }
}
```

## Other tools on Crawlora (727)

- `anime_title` — Execute — https://policylayer.com/tools/crawlora-mcp/anime-title.md
- `coingecko_new_coins` — Execute — https://policylayer.com/tools/crawlora-mcp/coingecko-new-coins.md
- `justwatch_discover` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-discover.md
- `justwatch_new` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-new.md
- `manga_title` — Execute — https://policylayer.com/tools/crawlora-mcp/manga-title.md
- `steam_charts_top_releases` — Execute — https://policylayer.com/tools/crawlora-mcp/steam-charts-top-releases.md
- `yahoo_finance_ticker_history` — Execute — https://policylayer.com/tools/crawlora-mcp/yahoo-finance-ticker-history.md
- `airbnb_host` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host.md
- `airbnb_host_listings` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-listings.md
- `airbnb_host_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-reviews.md
- `airbnb_room` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room.md
- `airbnb_room_calendar` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-calendar.md
- `airbnb_room_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-reviews.md
- `airbnb_search` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-search.md
- `amazon_search` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-search.md
- `amazon_suggest` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-suggest.md
- `anime_character` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character.md
- `anime_character_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character-search.md
- `anime_rankings` — Read — https://policylayer.com/tools/crawlora-mcp/anime-rankings.md
- `anime_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-search.md
- `anime_title_characters` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-characters.md
- `anime_title_recommendations` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-recommendations.md
- `anime_title_staff` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-staff.md
- `apple_podcasts_charts` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-charts.md
- `apple_podcasts_episodes_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-episodes-search.md
- `apple_podcasts_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-search.md
- `apple_podcasts_show` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show.md
- `apple_podcasts_show_episodes` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show-episodes.md
- `appstore_app` — Read — https://policylayer.com/tools/crawlora-mcp/appstore-app.md
- `appstore_developer` — Read — https://policylayer.com/tools/crawlora-mcp/appstore-developer.md
- …and 697 more: https://policylayer.com/tools/crawlora-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=crawlora-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/crawlora-mcp