case-doha-record

Search 30,000+ decided U.S. DOHA security-clearance decisions, cited to the public record.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
83%
命名の品質
97%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~951トークン数(ツール定義)
~690 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.74%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "case-doha-record": {
      "url": "https://www.clearancesearchengine.com/api/mcp"
    }
  }
}

リモートエンドポイント

https://www.clearancesearchengine.com/api/mcpstreamable-http

できること

ツール一覧

ツール(7)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢search_cases(query, guideline, outcome, level, year_from, ...)

Search 30,000+ decided public DOHA security-clearance decisions (1996 to present). Full-text query plus filters. Returns matching cases with outcome, date, guidelines, and a citable URL each.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Full-text search, e.g. \"gambling debts sports betting\""
    },
    "guideline": {
      "type": "string",
      "description": "Single guideline letter A-M (e.g. F = financial, B = foreign influence)"
    },
    "outcome": {
      "type": "string",
      "enum": [
        "granted",
        "denied"
      ],
      "description": "Final outcome filter"
    },
    "level": {
      "type": "string",
      "enum": [
        "hearing",
        "appeal"
      ],
      "description": "Decision level"
    },
    "year_from": {
      "type": "integer",
      "description": "Earliest decision year, e.g. 2020"
    },
    "year_to": {
      "type": "integer",
      "description": "Latest decision year"
    },
    "limit": {
      "type": "integer",
      "description": "Max results, 1-25 (default 10)"
    }
  }
}
🟢get_case(case_id)

Fetch one decided DOHA case in full: what was alleged, the judge's findings per allegation, per-guideline formal findings, outcome, judge, representation, and appeal history. Use case_id from search_cases.

入力スキーマ

{
  "type": "object",
  "properties": {
    "case_id": {
      "type": "integer",
      "description": "The numeric case id from search_cases"
    }
  },
  "required": [
    "case_id"
  ]
}
🟢similar_cases(case_id, limit)

The most similar decided cases to a given case, ranked by how alike the ALLEGATIONS read (never by outcome). Same list shown on the case page.

入力スキーマ

{
  "type": "object",
  "properties": {
    "case_id": {
      "type": "integer",
      "description": "The numeric case id"
    },
    "limit": {
      "type": "integer",
      "description": "Max results, 1-10 (default 5)"
    }
  },
  "required": [
    "case_id"
  ]
}
🟢get_statistics(by, guideline, year_from, year_to)

Grant/denial statistics over decided hearing-level DOHA cases, grouped by year or by guideline, always with sample sizes. Same population rules as the site's Insights page.

入力スキーマ

{
  "type": "object",
  "properties": {
    "by": {
      "type": "string",
      "enum": [
        "year",
        "guideline"
      ],
      "description": "Grouping (default year)"
    },
    "guideline": {
      "type": "string",
      "description": "Optional single guideline letter A-M to scope to"
    },
    "year_from": {
      "type": "integer"
    },
    "year_to": {
      "type": "integer"
    }
  }
}
🟢get_timelines(year)

Measured DOHA timelines: median days from Statement of Reasons to hearing and to decision, from dates stated in the decisions themselves. Optionally scoped to one decision year.

入力スキーマ

{
  "type": "object",
  "properties": {
    "year": {
      "type": "integer",
      "description": "Optional decision year to scope to"
    }
  }
}
🟢get_conduct_recency(guideline)

How much time had passed between the most recent conduct and the decision, measured from dates stated in the decisions, for the incident-type concerns (drugs, alcohol, criminal conduct, sexual behavior, protected information, IT misuse). Reports median years before favorable vs unfavorable decisions, with counts. Descriptive association, never a prediction.

入力スキーマ

{
  "type": "object",
  "properties": {
    "guideline": {
      "type": "string",
      "description": "Optional single concern letter to scope to: H drugs, G alcohol, J criminal, D sexual behavior, K protected information, M IT misuse"
    }
  }
}
🟢get_candor_outcomes

How cases with a candor allegation (falsification, omission, or lack of candor) were resolved in the decided record: the favorable rate with vs without such an allegation, when the judge found a deliberate falsification vs when the applicant rebutted it, and when the applicant corrected the record before being confronted. Counts and denominators throughout. Descriptive, never a prediction.

入力スキーマ

{
  "type": "object",
  "properties": {}
}

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検証済みバージョンは記録されていませんツール 7 件
検証済みバージョンは記録されていませんツール 7 件