Skip to main content
Glama
cturkieh

France Data MCP

professionnel_by_rpps

Read-onlyIdempotent

Retrieve healthcare professional details by national identifier (RPPS/IDNPS). Returns entries for each practice site, with automatic fallback to live API if not in local database.

Instructions

Fiche d'un professionnel de santé par identifiant national (rpps_id / IDNPS, 11 ou 12 chiffres — IDNPS modernes émis depuis 2020 ont un préfixe "81" qui les fait à 12 chars, anciens IDs sans préfixe à 11 chars). Renvoie N entrées quand le PS exerce sur plusieurs sites (1 row par site). Si non trouvé en base locale (ingestion mensuelle, J-30 max), tente automatiquement un fallback live sur l'API FHIR ANS (gateway.api.esante.gouv.fr/fhir/v2) — fraîcheur quotidienne, gratuit (clé ESANTE-API-KEY issue de portal.api.esante.gouv.fr requise côté serveur). Le champ source distingue db (base locale) de ans_fhir (fallback live). include_freshness n'affecte que les retours source: "db" (FHIR ANS étant live). Source : Annuaire Santé, Agence du Numérique en Santé (ANS) — Licence Ouverte v2.0

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rpps_idYes
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) 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?

Beyond annotations (readOnlyHint=true, etc.), the description details fallback to live FHIR API, staleness of local DB, source field, and per-parameter effects, adding substantial behavioral context.

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?

The description is dense and front-loaded with key info, but slightly verbose. However, every sentence adds value with no repetition.

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?

Given the presence of output schema and multiple siblings, the description covers ID format, multiple-site behavior, fallback, source field, and parameter details, leaving no critical gaps.

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?

For rpps_id, description explains format (11-12 digits, prefix '81') and multiple-site returns. For include_freshness, it clarifies scope and caching. Schema coverage is 50%, but description compensates fully.

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 'Fiche d'un professionnel de santé par identifiant national' (profile by national ID), specifies the ID format, and distinguishes from siblings like rpps_search_by_name which is for name-based search.

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 explains when to use (exact ID lookup) and provides fallback behavior, but does not explicitly exclude alternative tools for name or radius searches.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cturkieh/france-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server