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list_watched_companies

Read-onlyIdempotent

Liste des sociétés surveillées par l'utilisateur dans ses listes de veille (page /lists de l'app Insourcia).

Utiliser cet outil :

  • AVANT watch_company, pour vérifier si une société est déjà surveillée et connaître les listes existantes (leur nom exact).

  • Pour répondre à "quelles sociétés je surveille ?" / "qu'y a-t-il dans ma liste X ?".

list_name (optionnel) restreint à une liste précise (nom exact). Sans list_name, toutes les listes de l'utilisateur sont retournées. Un list_name qui ne matche aucune liste renvoie companies: [] et total: 0 (ce n'est pas une erreur : simplement aucune société surveillée sous ce nom).

Réponse : { companies: [{ siren, company_name, naf_code, region, list_id, list_name, added_at }] (aplaties toutes listes confondues, plus récentes d'abord), lists: [{ id, name, company_count, alert_enabled }], total, url (page /lists) }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
list_nameNoNom exact de la liste à consulter. Ex: "Surveillance", "Cibles M&A". Omis = toutes les listes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
listsYes
totalYes
companiesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / list_name / description
      Previous value: -"Nom exact de la liste a consulter. Ex: \"Surveillance\", \"Cibles M&A\". Omis = toutes les listes."New value: +"Nom exact de la liste à consulter. Ex: \"Surveillance\", \"Cibles M&A\". Omis = toutes les listes."
  2. Changed3 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / llm_model
      Removed value: -{
      -  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
      -  "type": "string"
      -}
    • removedInput schema / required
      Removed value: -[
      -  "llm_model"
      -]
  3. Changed3 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / llm_model
      Added value: +{
      +  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "llm_model"
      +]
  4. Changed3 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / context
      Removed value: -{
      -  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      -  "type": "string"
      -}
    • removedInput schema / required
      Removed value: -[
      -  "context"
      -]
  5. Changed3 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "context"
      +]
  6. First observed

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