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📌 2026-08-17 added: ⚖️ Taiwan statute time machine — historical article text · revision history · full-text search · citation graph (935 datasets · 35,454+ rows)

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HK LegCo questions search

hk_search_hansard_questions

TW-specificMIT

Scope: Hong Kong public datasets and government data.

Search LegCo member questions by topic keyword.



Args:
    keyword: substring on Subject (topic).
    speaker: exact match on Speaker (English name in ALLCAPS).
    date_from / date_to: yyyy-MM-dd on MeetingDate.
    lang: HansardType filter · "English" or "Chinese".
    top / skip: pagination.

Input schema

{
  "properties": {
    "keyword": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Keyword"
    },
    "speaker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Speaker"
    },
    "date_from": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Date From"
    },
    "date_to": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Date To"
    },
    "lang": {
      "default": "English",
      "title": "Lang",
      "type": "string"
    },
    "top": {
      "default": 20,
      "title": "Top",
      "type": "integer"
    },
    "skip": {
      "default": 0,
      "title": "Skip",
      "type": "integer"
    }
  },
  "title": "hk_search_hansard_questionsArguments",
  "type": "object"
}

How to call

Once your Twinkle Hub MCP client is configured, your agent will see hk_search_hansard_questions. Just ask it to call — example:

# Ask Claude / any MCP client:
請用 hk_search_hansard_questions 處理 "…"。

# It will call:
hk_search_hansard_questions(input="…")

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