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cturkieh

France Data MCP

etablissement_by_siret

Read-onlyIdempotent

Retrieve detailed establishment information by SIRET number, including legal name, trade name, NAF code, status, address, and employee range via INSEE SIRENE API.

Instructions

Récupère le détail d'un établissement par son SIRET (14 chiffres) via l'API SIRENE INSEE V3.11 : raison sociale de l'unité légale, enseigne commerciale, NAF de l'établissement, dates de création/fermeture, statut administratif actif/fermé, adresse complète, tranche d'effectif. Source : SIRENE INSEE V3.11 (api.insee.fr).

Format de retour : objet LookupResult discriminé par found.

  • found: true → établissement à plat (siret, siren, actif, dateFermeture, enseigne, adresse, …)

  • found: false{ found: false, key, lookupStatus: 'not_found', message }. Cas typiques : clé INSEE_SIRENE_API_KEY non configurée côté serveur (message explicite), SIRET inexistant SIRENE, diffusion partielle INSEE.

⚠️ Différence avec entreprise_by_siren : ce tool renvoie UN établissement précis (un site), alors que entreprise_by_siren renvoie l'unité légale + sa liste d'établissements. Pour détecter un SIRET fermé encore listé actif côté FINESS, lire actif: false + dateFermeture.

Pas de coords : l'endpoint INSEE /siret/<siret> ne renvoie pas les coordonnées GPS. Pour géolocaliser, croiser avec geocode_adresse côté caller ou utiliser entreprises_in_radius.

Rate limit INSEE : 30 req/min (retry-after géré côté serveur).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siretYesSIRET exact, 14 chiffres.

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 etc.), the description discloses the rate limit of 30 req/min with server-side retry handling. It details both found and not_found return structures, including error cases like missing API key or SIRET not in SIRENE.

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 moderately long but well-structured with front-loaded purpose, clear return format, differentiation, and rate limit. No wasted sentences, though slightly verbose for a simple tool.

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 is comprehensive given the output schema: it explains both success and failure cases, usage tips, rate limits, and sibling differentiation. No missing information for an agent to use this tool correctly.

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?

Schema has one 'siret' parameter with 100% coverage. Description reinforces the 14-digit requirement and adds context about possible lookup statuses (not_found). Slight added 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?

The description clearly states it retrieves an establishment's details by SIRET via INSEE API, listing specific data fields. It distinguishes itself from the sibling 'entreprise_by_siren' by noting this returns one establishment vs. the legal unit plus list.

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?

Explicitly differentiates when to use this tool over 'entreprise_by_siren' for a specific site. Also advises on detecting closed SIRETs and mentions lack of coordinates, suggesting alternatives like 'geocode_adresse' or 'entreprises_in_radius'.

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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