deep_researcher_start

Initiate in-depth AI research for complex queries. This tool performs comprehensive web searches, analyzes data, and generates detailed reports. Ideal for thorough analysis of complex topics instead of simple searches. Use the returned task ID with a follow-up tool to monitor progress and retrieve results.

Instructions

Start a comprehensive AI-powered deep research task for complex queries. This tool initiates an intelligent agent that performs extensive web searches, crawls relevant pages, analyzes information, and synthesizes findings into a detailed research report. The agent thinks critically about the research topic and provides thorough, well-sourced answers. Use this for complex research questions that require in-depth analysis rather than simple searches. After starting a research task, IMMEDIATELY use deep_researcher_check with the returned task ID to monitor progress and retrieve results.

Input Schema

Name	Required	Description	Default
`instructions`	Yes	Complex research question or detailed instructions for the AI researcher. Be specific about what you want to research and any particular aspects you want covered.
`model`	No	Research model: 'exa-research' (faster, 15-45s, good for most queries) or 'exa-research-pro' (more comprehensive, 45s-2min, for complex topics). Default: exa-research

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "instructions": {
      "description": "Complex research question or detailed instructions for the AI researcher. Be specific about what you want to research and any particular aspects you want covered.",
      "type": "string"
    },
    "model": {
      "description": "Research model: 'exa-research' (faster, 15-45s, good for most queries) or 'exa-research-pro' (more comprehensive, 45s-2min, for complex topics). Default: exa-research",
      "enum": [
        "exa-research",
        "exa-research-pro"
      ],
      "type": "string"
    }
  },
  "required": [
    "instructions"
  ],
  "type": "object"
}

Exa MCP Server