Reading Question QC

Reading Question QC

Specialized MCQ quality and distractor analysis

v1.0.0

Overview

Specialized evaluator for multiple-choice questions focusing on distractor quality, question clarity, and overall MCQ construction.

Key Features

MCQ Analysis
Comprehensive
Speed
~5s per question
Subject Coverage
MCQ-focused
Reading, all subjects
Distractor Quality
Specialized analysis

Core Capabilities:

  • 🎯 Distractor plausibility & consistency
  • 📖 Question clarity assessment
  • ✓ Correctness validation
  • 📊 Standards alignment

Output

Simplified:

{"reading_question_qc": {"overall_score": 0.85}}

Full mode:

{
  "reading_question_qc": {
    "overall_score": 0.85,
    "passed": true,
    "distractor_checks": {
      "plausibility_score": 0.9,
      "grammatical_consistency": true
    },
    "question_checks": {
      "clarity_score": 0.85
    },
    "recommendations": ["Excellent distractor quality"]
  }
}

Common Issues Detected

Distractor Problems: Too obvious | Grammatically inconsistent | Not plausible | Too similar

Question Problems: Ambiguous wording | Missing information | Multiple correct answers | Cultural bias

Usage

curl -X POST "https://api.inceptapi.com/evaluate" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer INCEPT_API_KEY" \
  -d '{
    "evaluators_to_run": ["reading_question_qc"],
    "generated_questions": [
      {
        "type": "mcq",
        "question": "Based on the passage, what is the main theme?",
        "answer_options": {"A": "...", "B": "...", "C": "...", "D": "..."}
      }
    ]
  }'

Performance: ~5s per question | Languages: All | Best for: Reading, MCQs

Input Schema: Generated Question Schema → | Request Schema →

See full documentation →