Skip to main content
Glama

搜尋司法院公開裁判

search_taiwan_judgments

即時使用司法院裁判書系統搜尋公開裁判,不保存裁判內容。結果按法院層級排序(最高→高等→地方),每筆含法院、案件類型、日期、案由。查特定案號請用 case_word + case_number(例:114年度上易字第503號 → case_word=上易, case_number=503, year_from=114),不要放進 query。main_text 以裁判主文措辭篩選輸贏方(例:「被告應給付」= 被告敗訴、「原告之訴駁回」= 原告敗訴、「上訴駁回」= 維持原審),可與 query 併用。若同時使用語意/概念式檢索工具,建議兩軌並行後以司法院 JID 合併去重,JID 皆命中者優先;沒有 JID 的候選結果僅供瀏覽,不得直接引為法院見解。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
courtNo法院名稱,例如:最高法院、臺灣臺北地方法院
limitNo
queryNo全文檢索關鍵字,例如:預售屋 遲延交屋
year_toNo截止年度(民國年)
case_typeNo
case_wordNo字別,例如:台上、上易、重訴
main_textNo裁判主文關鍵字(輸贏方篩選)
year_fromNo起始年度(民國年)
case_numberNo案號數字

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It states that judgment content is not saved, results are sorted by court level, each entry contains specific fields, and explains JID deduplication behavior. This is rich contextual detail beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with purpose and every clause contributes value, but it runs as one dense paragraph. It could be more scannable with structured formatting (e.g., bullets), but it is not verbose or redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description specifies result fields, sorting order, and usage patterns for different search modes (case number, main_text, query, semantic merge). It sufficiently covers the complexity of a 9-parameter search tool with 0 required parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 78%, but the description adds substantial meaning beyond field descriptions: a concrete example for case_word/case_number/year_from, example mapping of main_text phrases to winners/losers, and the note that main_text can be combined with query. This goes well beyond the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it uses the Judicial Yuan judgment system to search public judgments, with a specific verb and resource. It distinguishes itself from siblings by describing result sorting by court level and the fields included, making it clear this is a search tool rather than a retrieval or interpretation tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit usage guidance: how to search a specific case number using case_word, case_number, and year_from, and to avoid putting the case number in query. It also explains main_text usage for filtering winners/losers and recommends merging with semantic search tools using JID, explicitly warning that results without JID should not be cited. This qualifies as explicit when/when-not guidance with alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct legal source or action: laws, regulations, interpretations, judgments, MOJ documents, bills, legislative history, and intent analysis. Even similar tools like search_taiwan_laws vs search_taiwan_regulations are clearly separated by scope (full-text vs name-only) and descriptions provide sufficient boundary definitions.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with a domain prefix (taiwan or moj). The verbs are limited to get, search, and analyze, and the object nouns are unambiguous (e.g., interpretations, judgments, laws, regulations, bills). No mixed conventions or vague verbs.

Tool Count5/5

14 tools is well-scoped for a comprehensive Taiwan legal research server, covering search, retrieval, citation extraction, intent routing, and legislative tracking. Each tool has a clear purpose and the count is within the ideal 3-15 range.

Completeness5/5

The tool surface covers the full lifecycle of legal research: finding and retrieving laws, regulations, interpretations, judgments, and bills; obtaining legislative history and versions; converting law names to PCODEs; analyzing user intent; and even extracting citations. No obvious gaps that would block an agent's legal research workflow.

Resources