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justicelibre

by io.github.Dahliyaal

search_cjue

Read-only

Recherche textuelle dans la jurisprudence de la Cour de justice de l'Union européenne.

Exploitation de l'index localisé des décisions de la CJUE, du Tribunal
de l'UE, des ordonnances et des conclusions des avocats généraux
(données EUR-Lex). Libre d'accès.

Args:
    query: mots-clés (ex : "libre circulation capitaux", "CJUE C-72/24")
    limit: nombre maximum de résultats (défaut 20, max 50)
    offset: décalage pour paginer (défaut 0). Si la réponse contient
        `truncated: true`, réitérer avec `next_offset` pour la suite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior4/5

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

While the readOnlyHint annotation already indicates a safe read operation, the description adds useful behavioral details: pagination via offset/next_offset, truncation handling, and the note about free access. It does not mention any rate limits or additional side effects, but the core search behavior is transparent.

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

Conciseness5/5

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

The description is efficiently structured: a one-line purpose, a coverage note, a free-access note, and a clear Args list. Every sentence contributes necessary information, and the format is scannable.

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?

For a simple search tool with an output schema, the description covers the essential aspects: scope, query syntax, result limits, and pagination behavior. It even anticipates the truncated response and next_offset, making it self-sufficient for an agent.

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?

With 0% schema description coverage, the description fully compensates by explaining each parameter: query with examples, limit with default and maximum, and offset with pagination logic. This adds meaning far beyond the bare schema types.

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?

The description states 'Recherche textuelle dans la jurisprudence de la Cour de justice de l'Union européenne', clearly identifying the tool as a text search over CJEU case law. It further specifies coverage (CJEU, General Court, orders, AG opinions) and distinguishes it from sibling search tools targeting other courts (e.g., CEDH, CC).

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

Usage Guidelines4/5

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

The description provides clear context: it searches a localized index of CJEU decisions and is free to access. It gives example queries ('CJUE C-72/24') implying intended use, but does not explicitly state when not to use it or mention alternative tools for retrieving a single decision.

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

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TDQS

A4.1/5.0
Disambiguation4/5

The tools are mostly distinct by legal source (admin, CC, CEDH, CJUE, etc.) and by action (search vs. retrieve). However, pairs like search_admin vs. search_conseil_etat both target Council of State jurisprudence, and get_decision_text could be mistaken for a generic decision retriever, creating some potential confusion despite detailed descriptions.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case pattern with action-first naming (get_, search_, list_, build_, resolve_, about_). The get_decision_* and search_* prefixes clearly separate retrieval from search, and modifiers like _libre and _recent are applied systematically.

Tool Count2/5

With 31 tools, the server is heavy, exceeding the 25+ threshold for 'too many.' While the breadth of French legal sources justifies many search/retrieval tools, the three recent admin variants and the redundant PISTE vs. libre duplicates suggest the set could be consolidated. The count feels disproportionate to the core purpose of legal research.

Completeness4/5

The tool set covers the full read lifecycle for legal research: orientation (about), search across all major sources, full-text retrieval for each source, law article lookup with historical versions, and URL building. Minor gaps exist, such as lacking a structured code browse or a direct way to enumerate all articles in a section, but these are workarounds via search_legi and get_law_article.

Resources