MCP MeasureMCP Measure

index observed

GoAI Moat Cross-Border Returns & Refund Management

True return-cost math, platform return-policy playbook, and return-reduction strategy for sellers

Should I use this

Quality & Safety

B
Description quality
70%
Schema completeness
73%
Naming quality
87%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • LOWTool 'calculate_return_cost' description lacks action verbin calculate_return_cost
  • LOWTool 'return_policy_playbook' description lacks action verbin return_policy_playbook
  • LOWTool 'reduce_returns_playbook' description lacks action verbin reduce_returns_playbook

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~946Tokens (tool definitions)
~1023 BTypical response size
Moderate attention impact (0.74% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "returns-refund-management": {
      "url": "https://returns.mcp.goaimoat.com/mcp"
    }
  }
}

Remote endpoints

https://returns.mcp.goaimoat.com/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢calculate_return_cost(avg_price, return_rate_pct, monthly_units, category, is_fba, ...)

退货真实成本核算：单件退货成本 + 月度退货成本 + 退货吃掉多少毛利 + returnless 是否划算。 参数： - avg_price: 平均售价（美元） - return_rate_pct: 退货率（%），服装类常见 15%–20%+，标品 5%–10% - monthly_units: 月销量（件） - category: 品类（apparel/electronics/standard 等，仅用于提示退货率区间） - is_fba: 是否 FBA（FBA 有退货处理费+退款管理费，FBM 卖家自担退货运费） - restock_rate_pct: 退货可恢复可售比例（%，FBA 约 68% 卖家实测口径，须自验） - returnless_refund: 是否采用无退货退款（低价品退货物流成本可能高于残值） 返回：单件退货真实成本、月度退货成本、退货侵蚀的毛利、returnless 建议。 成本口径：退款管理费 $0.30/件 + 退货处理费（按尺寸阶梯取中值估算）+ 不可售部分弃置/移除费 + 商品残值损失（(1-可恢复率)×售价）。均标「截至 2026 须自验」。

Input Schema

{
  "type": "object",
  "properties": {
    "avg_price": {
      "type": "number"
    },
    "return_rate_pct": {
      "default": 10,
      "type": "number"
    },
    "monthly_units": {
      "default": 300,
      "type": "integer"
    },
    "category": {
      "default": "apparel",
      "type": "string"
    },
    "is_fba": {
      "default": true,
      "type": "boolean"
    },
    "restock_rate_pct": {
      "default": 68,
      "type": "number"
    },
    "returnless_refund": {
      "default": false,
      "type": "boolean"
    },
    "email": {
      "default": "",
      "type": "string"
    },
    "license_key": {
      "default": "",
      "type": "string"
    }
  },
  "required": [
    "avg_price"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "additionalProperties": true
}
⚪return_policy_playbook(platform, email, license_key)

各平台退货政策对比（Amazon/Walmart/eBay/TikTok Shop/Shopify DTC）+ 退货管理要点。 参数： - platform: 平台标识（amazon/walmart/ebay/tiktok_shop/shopify_dtc，不区分大小写） 返回：该平台退货窗口、成本结构、returnless 支持、退货管理要点。 政策为公开口径（截至 2026 须自验），不实时抓取。

Input Schema

{
  "type": "object",
  "properties": {
    "platform": {
      "default": "amazon",
      "type": "string"
    },
    "email": {
      "default": "",
      "type": "string"
    },
    "license_key": {
      "default": "",
      "type": "string"
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "additionalProperties": true
}
⚪reduce_returns_playbook(return_reason, email, license_key)

按退货主因给针对性降退货率清单（尺码/描述不符/质量/运输损坏/买家反悔）。 参数： - return_reason: 退货主因（size_fit / description_mismatch / quality / damaged_in_transit / buyer_remorse） 返回：该主因的针对性降退货率动作清单 + 通用建议。 清单为行业经验值须自验，非平台硬口径。

Input Schema

{
  "type": "object",
  "properties": {
    "return_reason": {
      "default": "size_fit",
      "type": "string"
    },
    "email": {
      "default": "",
      "type": "string"
    },
    "license_key": {
      "default": "",
      "type": "string"
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "additionalProperties": true
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools