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get_wiki_article

Access a wiki article's complete markdown, references, and related articles via slug. Use to cite verified sources or gather detailed factual content.

Instructions

Récupérer le contenu intégral d'un article du Wiki LeBonFoin par son slug (obtenu via search_wiki). Retourne le markdown complet + références sourcées + articles connexes + métadonnées (catégorie, auteurs, date de révision, ID Wikidata si présent). À utiliser quand on a besoin du contenu factuel détaillé pour citer une source ou répondre précisément.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug de l'article wiki (depuis l'URL ou les résultats de search_wiki). Exemples : 'cannabidiol-cbd', 'plan-de-controle-dgal-2026-chanvre-alimentaire', 'afpc-association-francaise-producteurs-cannabinoides'.
Behavior4/5

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

With no annotations, the description adequately discloses behavior: read-only retrieval returning full article details. It doesn't mention error handling or rate limits, but the scope is well-defined.

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?

Description is succinct, front-loaded with the main action, and contains no superfluous information. Every sentence adds value.

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

Completeness4/5

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

Given single parameter, no output schema, and no annotations, the description covers purpose, input, return type, and usage context thoroughly. Minor omission of potential errors does not detract significantly.

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?

Input schema already describes the 'slug' parameter with examples; description adds context that slug is obtained via 'search_wiki' and how it is used, adding value beyond schema.

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 the tool retrieves full wiki article content by slug, specifying the return format (markdown, references, related articles, metadata). It distinguishes from sibling tool 'search_wiki' which is used to obtain the slug.

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?

Explicitly mentions that slug comes from 'search_wiki' and provides usage context: 'Use when you need detailed factual content to cite a source or answer precisely.' No explicit when-not-to-use, but context is clear.

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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