# QA – Output & Async Validation (v1.2.0)

## Async job flow
- Submit: `POST /jobs {"query":"Async smoke test"}` → returns `job_id`
- Stream: `/jobs/:jobId/events` shows `submitted → started → agent_* → synthesis_token → report_saved → complete`
- UI: `/ui` displays lanes and tokens; `agent_usage` events present when provider returns usage
- Metrics: `/metrics` includes `jobs` counts and `usageTotals`

## Tools sanity
- `submit_research` → `get_job_status` shows events; `cancel_job` succeeds on queued jobs
- `search` returns typed hits from docs & reports; hybrid ordering plausible
- `query` blocks non-SELECT, `explain:true` returns concise summary

## Retrieval
- `index_url` adds doc; `search { scope:"docs" }` finds it
- BM25 k1/b configurable; vector fusion enabled when embeddings present

## Packaging
- `npx openrouter-agents --stdio` works; MCP JSON configs spawn server

# OpenRouterAI Research Agents MCP Server - QA Test Results

This document contains the results of testing all features in the OpenRouterAI Research Agents MCP server.

## Table of Contents
1. [Test Environment](#test-environment)
2. [Tool: `conduct_research`](#tool-conduct_research)
3. [Tool: `research_follow_up`](#tool-research_follow_up)
4. [Tool: `get_past_research`](#tool-get_past_research)
5. [Tool: `rate_research_report`](#tool-rate_research_report)
6. [Tool: `list_research_history`](#tool-list_research_history)
7. [Performance Testing](#performance-testing)
8. [MECE Analysis & Remediation Plan](#mece-analysis--remediation-plan)

## Test Environment
- Test Date: 3/29/2025, ~9:53 AM (America/Chicago, UTC-5:00)
- MCP Server: openrouterai-research-agents

## Tool: `conduct_research`

### Test Case 1.1: Basic Query (Default Parameters)
- **Arguments Used:**
  ```json
  {
  "query": "What is quantum computing?"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: report-1743260530247"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated report ID: report-1743260530247

### Test Case 1.2: High-Cost Preference
- **Arguments Used:**
  ```json
  {
  "query": "Compare supervised and unsupervised machine learning techniques",
  "costPreference": "high"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: report-1743260530760"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated report ID: report-1743260530760

### Test Case 1.3: Audience Level and Output Format
- **Arguments Used:**
  ```json
  {
  "query": "Explain blockchain technology",
  "audienceLevel": "beginner",
  "outputFormat": "bullet_points"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: report-1743260531265"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated report ID: report-1743260531265

### Test Case 1.4: Without Sources
- **Arguments Used:**
  ```json
  {
  "query": "History of artificial intelligence",
  "includeSources": false
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: report-1743260531778"
    }
  ]
}
  ```
- **Time Taken:** 1ms
- **Status:** Success
- **Notes:** Generated report ID: report-1743260531778

### Test Case 1.5: Max Length Constraint
- **Arguments Used:**
  ```json
  {
  "query": "Renewable energy technologies",
  "maxLength": 1000
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: report-1743260532295"
    }
  ]
}
  ```
- **Time Taken:** 1ms
- **Status:** Success
- **Notes:** Generated report ID: report-1743260532295

## Tool: `research_follow_up`

### Test Case 2.1: Related Follow-Up Question
- **Arguments Used:**
  ```json
  {
  "originalQuery": "What is quantum computing?",
  "followUpQuestion": "What are the potential applications of quantum computing in cryptography?"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: followup-report-1743260532811"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated followup report ID: followup-report-1743260532811

### Test Case 2.2: Unrelated Follow-Up Question
- **Arguments Used:**
  ```json
  {
  "originalQuery": "What is quantum computing?",
  "followUpQuestion": "What is the current weather on Mars?"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: followup-report-1743260533324"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated followup report ID: followup-report-1743260533324

### Test Case 2.3: High Cost Follow-Up
- **Arguments Used:**
  ```json
  {
  "originalQuery": "What is quantum computing?",
  "followUpQuestion": "How does proof of stake differ from proof of work?",
  "costPreference": "high"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Research complete. Results streamed. Report ID: followup-report-1743260533844"
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** Generated followup report ID: followup-report-1743260533844

## Tool: `get_past_research`

### Test Case 5.1: Default Parameters
- **Arguments Used:**
  ```json
  {}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "[\n  {\n    \"_id\": \"report-1743260530247\",\n    \"originalQuery\": \"What is quantum computing?\",\n    \"createdAt\": \"2025-03-29T15:02:17.964Z\",\n    \"parameters\": {\n      \"costPreference\": \"low\",\n      \"audienceLevel\": \"intermediate\"\n    }\n  }\n]"
    }
  ]
}
  ```
- **Time Taken:** 1ms
- **Status:** Success
- **Notes:** 

### Test Case 5.3: Query Filter
- **Arguments Used:**
  ```json
  {
  "queryFilter": "quantum"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "[\n  {\n    \"_id\": \"report-1743260530247\",\n    \"originalQuery\": \"What is quantum computing?\",\n    \"createdAt\": \"2025-03-29T15:02:18.988Z\",\n    \"parameters\": {\n      \"costPreference\": \"low\",\n      \"audienceLevel\": \"intermediate\"\n    }\n  }\n]"
    }
  ]
}
  ```
- **Time Taken:** 1ms
- **Status:** Success
- **Notes:** 

### Test Case 5.4: Non-Matching Filter
- **Arguments Used:**
  ```json
  {
  "queryFilter": "nonexistentkeyword123456789"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "No recent research reports found matching filter \"nonexistentkeyword123456789\"."
    }
  ]
}
  ```
- **Time Taken:** 0ms
- **Status:** Success
- **Notes:** 

## Performance Testing

### Test Case 6.1: Complex Query with Low Cost
- **Arguments Used:**
  ```json
  {
  "query": "Provide a comprehensive analysis of the ethical implications of artificial intelligence in healthcare, including issues related to patient privacy, algorithmic bias in diagnosis, responsibility for AI-driven medical errors, and the changing role of healthcare professionals in an increasingly automated environment.",
  "costPreference": "low"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Error conducting research: Simulated error for testing."
    }
  ],
  "isError": true
}
  ```
- **Time Taken:** 0ms
- **Status:** Error
- **Notes:** Simulated error for testing

### Test Case 6.2: Complex Query with High Cost
- **Arguments Used:**
  ```json
  {
  "query": "Provide a comprehensive analysis of the ethical implications of artificial intelligence in healthcare, including issues related to patient privacy, algorithmic bias in diagnosis, responsibility for AI-driven medical errors, and the changing role of healthcare professionals in an increasingly automated environment.",
  "costPreference": "high"
}
  ```
- **Response:**
  ```
  {
  "content": [
    {
      "type": "text",
      "text": "Error conducting research: Simulated error for testing."
    }
  ],
  "isError": true
}
  ```
- **Time Taken:** 0ms
- **Status:** Error
- **Notes:** Simulated error for testing

## MECE Analysis & Remediation Plan

[Analysis and Remediation Plan will be added after completing all tests]
