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Brand trend

Query monthly atomic metrics for one exact brand.

Document ID: agent.dataset.jd.task.brand_trend

Authenticated runtime tools and each query response are authoritative for tenant scope and current data coverage.

This is an MCP query composition, not a complete business report; see Research Methods in the Agent Docs for complete workflows.

Required inputs

brandRequired · search_values

Exact brand value

brand
timeRequired · user_required

Analysis time range

Execution steps

  1. 1
    resolve_brand · search_values

    Resolve the spoken brand value.

    Request contract
    brand ← $brand
  2. 2
    query_trend · query_metrics

    Query metrics grouped by month.

    Request contract
    metrics: gmv, units, aspgroup_by: monthfilter: brand eq $brandtime: $time

Call example

Replace example values with exact user inputs or platform values returned by search_values.

search_values
{
  "dataset": "jd",
  "field": "brand",
  "kw": "示例品牌",
  "limit": 10,
  "task_query": "使用 jd 数据执行品牌趋势；brand=示例品牌，time={\"last_complete_months\":3}"
}
query_metrics
{
  "dataset": "jd",
  "filters": [
    {
      "field": "brand",
      "op": "eq",
      "value": "示例品牌"
    }
  ],
  "group_by": [
    "month"
  ],
  "metrics": [
    "gmv",
    "units",
    "asp"
  ],
  "task_query": "使用 jd 数据执行品牌趋势；brand=示例品牌，time={\"last_complete_months\":3}",
  "time": {
    "last_complete_months": 3
  }
}

Output policy

  • Present a month-by-month trend with metric definitions.

Stop conditions

  • Stop and ask when the brand match is ambiguous.

Limitations

  • Do not infer causes from sales movement alone.