Volcengine DataPro

Use only the volcengine-datapro connector and its dataPro_search tool.

Input

Accept one non-empty string named query.

Discover and search

Run this workflow in a Python cell:

if type(query) is not str or not query.strip():
    raise ValueError("query must be a non-empty string")

discovery = host.mcp.tools("volcengine-datapro")
tools = discovery.get("tools") if isinstance(discovery, dict) else None
if not isinstance(tools, list) or not any(
    isinstance(tool, dict) and tool.get("name") == "dataPro_search"
    for tool in tools
):
    raise RuntimeError("dataPro_search is not available on volcengine-datapro")

result = host.mcp.call(
    "volcengine-datapro",
    "dataPro_search",
    {"query": query},
)
raw = result.get("raw") if isinstance(result, dict) else None
structured = raw.get("structuredContent") if isinstance(raw, dict) else None
code = structured.get("code") if isinstance(structured, dict) else None

if type(code) is int and code == 0:
    index = result.get("index") if isinstance(result, dict) else None
    complete = (
        isinstance(index, dict)
        and index.get("complete") is True
        and type(index.get("source_leaf_count")) is int
        and type(index.get("indexed_leaf_count")) is int
        and index.get("source_leaf_count") == index.get("indexed_leaf_count")
        and isinstance(index.get("source_digest"), str)
        and index.get("source_digest") == index.get("indexed_digest")
    )
    if not complete:
        raise RuntimeError("专业数据集本次返回内容未完整索引")
    print("专业数据集可用")
elif type(code) is int and code == 4011:
    raise RuntimeError("Key 无效、额度不足，或者专业数据集 Harness 未开启。")
else:
    raise RuntimeError(f"专业数据集不可用（code={code!r}）")

result

Discovery confirms only that the named tool is advertised. Never treat discovery as authentication or report 专业数据集可用 from it. Report that status only after the real search call returns an integer raw.structuredContent.code equal to 0; a boolean or string zero does not qualify. A successful call is reported as available only after its index receipt proves that every JSON leaf in this response was indexed. This receipt describes the current response; it is not a claim that the remote corpus was fully mirrored.