Low Risk

densite_sante

Densité de santé pour 100 000 habitants — cible: professionnels (RPPS) OU cible: etablissements (FINESS). Niveau département (code_dept) OU commune (code_insee / nom_commune). Exactement un scope des trois requis. Croise le count (RPPS ou FINESS) et INSEE Melodi (population municipale PMUN, recen...

Risk signalsHigh parameter count (11 properties)

Part of the France Data Mcp server.

densite_sante is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call densite_sante to retrieve information from France Data Mcp without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though densite_sante only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "densite_sante": {}
  }
}

See the full France Data Mcp policy for all 36 tools.

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These attack patterns abuse exactly the kind of access densite_sante gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so densite_sante only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the densite_sante tool do? +

Densité de santé pour 100 000 habitants — cible: professionnels (RPPS) OU cible: etablissements (FINESS). Niveau département (code_dept) OU commune (code_insee / nom_commune). Exactement un scope des trois requis. Croise le count (RPPS ou FINESS) et INSEE Melodi (population municipale PMUN, recensement 2023). cible='professionnels' (RPPS) — méthodo DREES par défaut : médecins (profession_code='10') en activité régulière (mode_exercice L, S, M), hors étudiants. Filtres : profession_code (60 infirmier, 21 pharmacien, 50 sage-femme…), savoir_faire_code (ex 'SM04' Cardiologie — 'SM02' = Anesthésie-réanimation ; voir lister_nomenclature referentiel rpps_savoir_faire), mode_exercice_codes (['L'] = libéraux seuls). cible='etablissements' (FINESS) — famille OBLIGATOIRE : labo, pharmacie, ehpad, mco, ssr, psychiatrie, dialyse, imagerie, had, msp_cpts, handicap_enfants, handicap_adultes, addictologie, pmi, prevention_sante, etc. Sans famille le ratio mélangerait labos/hôpitaux/EHPAD → non-sens. Sémantique conditionnelle de code_dept : seul = scope de calcul (dept entier) ; combiné avec nom_commune = hint de résolution UNIQUEMENT (filtre les homonymes), le calcul reste sur la commune résolue. Paris/Marseille/Lyon : densité par code_insee INDISPONIBLE (RPPS/FINESS rattachés aux arrondissements, INSEE n'expose la population qu'à la commune entière) → RangeError ; utiliser code_dept (75, 13, 69). compare_national: true ajoute la densité France entière (DOM inclus) + écart en % (positif = sur-doté, négatif = sous-doté). Alias : dept/departement → code_dept, codeInsee/insee → code_insee. Ne renvoie AUCUNE interprétation métier (pas de seuil "désert médical" auto). Catégorie par défaut : Civil (C, ~97 % — libéraux, salariés privés, hospitaliers contractuels). Opt-in : include_agents_publics: true ajoute Agents publics (M, ~0,3 % — PH titulaires, ARS, CNAM, Éducation nationale, PMI, militaires SSA) ; include_etudiants: true ajoute Étudiants (E, ~2,5 % — internes, externes, élèves IDE/SF). Réf : https://mos.esante.gouv.fr/NOS/TRE_R09-CategorieProfessionnelle/. ATTENTION nomenclatures : les codes ANS (profession_code, savoir_faire_code) sont une nomenclature DISTINCTE des codes Ameli (specialite_code, type_ps_code) — un même nombre désigne des choses différentes (ex: '10' = Médecin côté ANS, Neurochirurgien côté Ameli). Ne JAMAIS passer un code Ameli à un paramètre ANS : le filtre renverrait vide sans erreur. Découvrir les codes ANS via lister_nomenclature(referentiel:'rpps_savoir_faire'). Source : Annuaire Santé, Agence du Numérique en Santé (ANS) — Licence Ouverte v2.0. It is categorised as a Read tool in the France Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on densite_sante? +

Register the France Data MCP server in PolicyLayer and add a rule for densite_sante: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches France Data Mcp. Nothing to install.

What risk level is densite_sante? +

densite_sante is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit densite_sante? +

Yes. Add a rate_limit block to the densite_sante rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block densite_sante completely? +

Set action: deny in the PolicyLayer policy for densite_sante. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides densite_sante? +

densite_sante is provided by the France Data MCP server (france-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every France Data Mcp tool call.

Deterministic rules across all 36 France Data Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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