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cturkieh

France Data MCP

centres_sante_by_finess

Read-onlyIdempotent

Retrieve health center details by FINESS number, including carte vitale, APCV, and on-site specialties (CNAM Annexe A).

Instructions

Récupère le détail d'un Centre de Santé (CDS) par son numéro FINESS. Différenciateur métier vs etablissement_by_finess : expose carte_vitale, APCV, et spécialités exercées sur place (Annexe A CNAM). Retourne un LookupResult discriminé par found.

found: true → payload CDS complet (raison sociale, accepte_carte_vitale/apcv, specialites.codes/libelles alignés, type_etab 124/125, adresse, coords centroïde commune, telephone). found: false{found: false, key, lookupStatus: 'not_found', message} quand le numéro FINESS pointe vers une structure non-CDS (hôpital, EHPAD, labo) ou un CDS très récent (CNAM latence ~1 sem).

Source : Annuaire santé Ameli, Assurance Maladie (sync hebdomadaire CNAM, mention obligatoire L.1461-2 CSP). Pour les structures non-CDS, utiliser etablissement_by_finess.

Alias acceptés : numFiness/finess/etab_finessnum_finess.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
num_finessYesNuméro FINESS exact 9 chiffres. Ex: '750000123'.
include_freshnessNoSi true, ajoute un champ `data_freshness` au payload (dans `query_metadata` si présent, sinon à la racine) listant la dernière ingestion réussie par source (FINESS, Ameli, RPPS, CDS) avec `staleness_days`. Opt-in pour ne pas alourdir les payloads par défaut. Cache 5min côté serveur — coût négligeable.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
lookupStatusYes
keyNoClé recherchée (SIREN, num_finess, code INSEE, …).
messageNoExplication actionnable quand `found=false` (cause probable + remédiation).
Behavior5/5

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

The description reveals behavioral details beyond annotations: response shape for found/false, data freshness with `include_freshness`, source sync frequency (weekly CNAM), caching (5 min), and legal source mention. Annotations confirm read-only, non-destructive, idempotent, and open-world; description adds substantial context.

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 well-structured and concise: it starts with the core purpose and differentiator, then details response cases, source info, and aliases. Every sentence adds value without redundancy.

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?

The description covers all essential aspects: purpose, usage guidelines, behavioral details (response shape, error cases), parameter semantics, and source freshness. It is fully self-contained for an AI agent to select and invoke the tool correctly.

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 100% schema coverage, the description adds significant value over the schema: it mentions accepted aliases for `num_finess` and explains the `include_freshness` parameter's effect (adds `data_freshness` with staleness info).

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 clearly states the tool retrieves detailed information about a Centre de Santé (CDS) by its FINESS number, and explicitly distinguishes it from the sibling tool `etablissement_by_finess` by highlighting specific fields (carte_vitale, APCV, spécialités).

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?

The description explicitly states when not to use this tool: for non-CDS structures, use `etablissement_by_finess`. It also explains the `found: false` scenario for non-CDS or recent CDS entries, providing clear guidance.

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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