Actual group – offres d'emploi

{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"context":{"description":"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"","type":"string"},"conversation_id":{"description":"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.","type":"string"},"lang":{"description":"Language of the offer ⟨6 unchanged words⟩ ,"en"],"type":"string"},"llm_model":{"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"},"slug":{"description":"Offer slug, from  ⟨7 unchanged words⟩ type":"string"}},"required":["slug","context","llm_model"],"type":"object"}

{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"context":{"description":"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"","type":"string"},"conversation_id":{"description":"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.","type":"string"},"dimension":{"description":"Which filter to list. ⟨4 unchanged words⟩ ,"region"],"type":"string"},"llm_model":{"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"},"q":{"description":"Optional free text to ⟨16 unchanged words⟩ type":"string"}},"required":["dimension","context","llm_model"],"type":"object"}

{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"agencyCode":{"description":"Only offers handled by this agency: the agency code returned by find_best_agency.","type":"string"},"context":{"description":"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"","type":"string"},"contractType":{"description":"Contract types (exact  ⟨14 unchanged words⟩ :"string"},"type":"array"},"conversation_id":{"description":"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.","type":"string"},"family":{"description":"Job families (exact  ⟨36 unchanged words⟩ ,"en"],"type":"string"},"llm_model":{"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"},"page":{"description":"Page number, from  ⟨113 unchanged words⟩ \"35000\".","type":"string"}},"required":["context","llm_model"],"type":"object"}

{"$schema":"http://json-schema.org/draft-07/schema#","properties":{"context":{"description":"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"","type":"string"},"conversation_id":{"description":"Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.","type":"string"},"email":{"description":"Candidate email address.", ⟨54 unchanged words⟩ "minLength":1,"type":"string"},"llm_model":{"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"},"phoneNumber":{"description":"Candidate phone number,  ⟨20 unchanged words⟩ :["slug","firstName","lastName","email","context","llm_model"],"type":"object"}