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Rechercher des voitures d'occasion (gratuit)

search_used_cars
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Search used cars for sale in France across all major marketplaces. Recherche multi-critères dans les annonces françaises agrégées par CarHunt (LeBonCoin, LaCentrale, L'Argus, Autosphere, ParuVendu…). Sans compte : 10 résultats max, sans deal-score. Avec une clé personnelle Premium/Pro/Expert (Bearer chu_live_…) : 25 résultats, deal-score visible et tri deal_score. Chaque annonce inclut source_url (lien direct vers l'annonce d'origine) — à toujours citer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeNoMarque, ex. VOLKSWAGEN, PEUGEOT, BMW
sortNodate = découverte la plus récente (défaut) ; updated_at = fraîcheur scraper ; deal_score = sous-cote (clé Premium/Pro/Expert ou Business requise)
limitNoNombre de résultats (max 10 sans clé, 25 avec clé Premium/Pro/Expert)
modelNoModèle commercial, ex. GOLF, 308, SERIE 1 — les familles sont expansées (« GOLF » matche GOLF, GOLF SW…)
energyNoÉnergies séparées par des virgules : Essence,Diesel,Électrique,Hybride
regionNoRégion française : ile-de-france (ou idf), paca, bretagne, occitanie, normandie… Exclusif avec departments.
gearboxNoBoîtes séparées par des virgules : Manuelle,Automatique
year_maxNo
year_minNoAnnée-modèle minimum
price_maxNoPrix maximum en euros
price_minNoPrix minimum en euros
departmentsNoCodes départements, ex. ["33", "24", "40"]
mileage_maxNoKilométrage maximum
seller_typeNoVendeur professionnel ou particulier (couverture partielle)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / limit / description
      Previous value: -"Nombre de résultats (max 10 sans clé, 25 avec clé Premium/Pro)"New value: +"Nombre de résultats (max 10 sans clé, 25 avec clé Premium/Pro/Expert)"
    • changedInput schema / properties / sort / description
      Previous value: -"date = découverte la plus récente (défaut) ; updated_at = fraîcheur scraper ; deal_score = sous-cote (clé Premium/Pro ou Business requise)"New value: +"date = découverte la plus récente (défaut) ; updated_at = fraîcheur scraper ; deal_score = sous-cote (clé Premium/Pro/Expert ou Business requise)"
  2. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already state readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds auth requirements (Bearer chu_live_…), result-count limits per tier (10 vs 25), the deal-score gating by tier, and the presence of source_url in each listing with a citation instruction — all behavior beyond the structured fields.

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?

It is front-loaded with the core purpose, then the aggregation sources, then access tiers, then the source_url citation rule — a logical ordering. The bilingual EN/FR duplication adds some length without new meaning, keeping it just below top marks.

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?

With no output schema, the description partially compensates by noting that listings carry source_url and deal-score. It covers auth, limits, and aggregation scope, so an agent has enough to call it correctly; only the sibling-routing detail is absent.

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

Parameters3/5

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

Schema description coverage is 93%, so parameters such as model, region, and sort are already well documented in the schema. The description adds tier context around limit and deal_score, but does not add syntax or format meaning beyond what the schema already provides, making the baseline 3 appropriate.

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 names a specific verb and resource ('Search used cars for sale in France'), names the aggregation sources (CarHunt over LeBonCoin, LaCentrale, L'Argus…), and scopes the free vs. keyed tiers. An agent immediately knows this is a multi-criteria aggregated search, distinguishable from single-valuation siblings like estimate_car_price.

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?

It clearly conditions behavior: without a key, 10 results and no deal-score; with a Premium/Pro/Expert key, 25 results plus deal-score and deal_score sorting. That is concrete when-to-use guidance tied to access level. It stops short of explicitly routing between this and sibling tools such as pro_search or pro_deals.

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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