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FFBB MCP Server

Lecture exacte d'un article de règlement FFBB

ffbb_get_regulation_article
Read-onlyIdempotent

Get the exact, full wording of a specific FFBB regulation article using its article number. Returns the title, content, season, and document ID for known articles.

Instructions

Récupère le texte intégral et exact d'un article spécifique de règlement sans troncature.

Retourne dict avec document_id, article_number, titre, contenu et saison ; lecture seule, idempotent, sans effet de bord, cache SWR. Utilise cet outil quand tu connais le numéro d'article et le document (obtenu via ffbb_list_regulations ou ffbb_search_regulations) et que tu veux le contenu verbatim. Ne pas utiliser pour rechercher par mot-clé — utilise ffbb_search_regulations à la place ; pour lister les documents disponibles — utilise ffbb_list_regulations ; pour expliquer un départage — utilise ffbb_explain_tiebreak_rules. Si document_id est omis, précise organizer et season pour lever l'ambiguïté.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonNoSaison sportive (défaut '2026-2027')2026-2027
organizerNoOrganisateur du texte (ex: 'FFBB', 'Ligue AURA', 'Comité 63')
document_idNoIdentifiant du document source (ex: 'rsg_ffbb_2026_2027', 'rsp_u15_elite_2026_2027', 'reglement_aura_2026_2027', 'reglement_comite_63_2026_2027')
article_numberYesNuméro ou référence de l'article (ex: 'Article 28', 'Article 51', 'Article 4.1', 'Article 7')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.13.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds useful behavior beyond annotations: no truncation, SWR cache behavior, and the exact dict fields returned. It does repeat some annotation signals, but the cache and return-format context provide extra value.

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 compact and front-loaded: purpose, return behavior, then usage guidance. Every sentence contributes, and the alternative tools are listed clearly without unnecessary verbosity.

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 tool with 4 parameters and no output schema, the description covers the necessary context: exact return fields, idempotence and caching, when to use it, and how to disambiguate when document_id is absent. Nothing important is missing for correct invocation.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds meaningful parameter relationships: if document_id is omitted, organizer and season should be provided to avoid ambiguity, and the document can be obtained via ffbb_list_regulations or ffbb_search_regulations. This goes beyond the schema's individual parameter descriptions.

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 a precise action: retrieving the full, exact text of a specific regulation article without truncation. It clearly differentiates from siblings by naming what this tool is not for — keyword search, listing documents, and tiebreak explanations.

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?

It explicitly says when to use the tool: when the article number and document are already known and verbatim content is needed. It also gives exclusions with exact sibling alternatives: use ffbb_search_regulations for keyword search, ffbb_list_regulations for listing, and ffbb_explain_tiebreak_rules for tiebreak explanations.

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