AI-generated recommendations and examples are illustrative, not verified measurements. Accuracy, model availability, benchmark freshness, cost savings and improved results are not guaranteed. Verify outputs independently before relying on them.
SelfCritique
Self-Reflection
Critical review of your own answers with suggestions for improvement. Self-reflection for quality assurance - scrutinize your own answers and improve continuously!
Why This Tool Stands Out
- Error Detection Inconsistencies, oversights, and weaknesses are identified automatically - quality assurance!
- Improvement Suggestions Concrete recommendations for every identified weakness - constructive criticism!
- Multi-Level Analysis Structure, logic, completeness, and clarity are checked - comprehensive quality control!
- Continuous Improvement Every iteration increases answer quality - a learning process!
Technical Details
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
content | String | Yes | The content/answer to review |
original_question | String | No | The original question (for context) |
critique_focus | Array | No | "accuracy", "clarity", "completeness", "tone" (default: all) |
auto_improve | Boolean | No | Generate improved version (default: true) |
Request Example
{
"tool": "SelfCritique",
"params": {
"content": "AI will replace most jobs in the future. That is good for the economy because companies save money. Workers simply have to retrain.",
"original_question": "How will AI change the job market?",
"critique_focus": ["accuracy", "nuance", "balance"],
"auto_improve": true
}
}
Response Example
{
"status": "success",
"critique": {
"overall_score": 0.58,
"issues_identified": [
{
"category": "Oversimplification",
"severity": "HIGH",
"description": "'Most jobs' is an exaggeration. Studies show: 15-30% of tasks will be automated, not 'most jobs'.",
"suggestion": "Be specific: 'Certain repetitive tasks' or '30% of working time'"
},
{
"category": "Missing Nuance",
"severity": "MEDIUM",
"description": "Only economic benefits mentioned, no social costs noted.",
"suggestion": "Also address transition costs, retraining effort, social inequality"
},
{
"category": "Tone",
"severity": "MEDIUM",
"description": "'Simply retrain' comes across as condescending toward those affected.",
"suggestion": "Phrase more empathetically: 'Retraining is a challenge and requires government support'"
}
],
"strengths": [
"Clear thesis",
"Economic aspect considered",
"Solution approach (retraining) mentioned"
],
"improved_version": "AI is expected to automate 15-30% of all work tasks by 2030. While companies achieve efficiency gains, challenges arise: Affected workers need comprehensive retraining and social protection during the transition. A balanced AI strategy must combine economic benefits with social responsibility.",
"improvement_summary": "+42% quality improvement through more nuanced presentation, a more balanced perspective, and a more empathetic tone"
}
}
Example Usage
Illustrative HTTP pseudocode only: example.invalid is a placeholder, not a documented service endpoint. Do not send real credentials. Confirm the local MCP transport and tool schema for your installed version.
# SelfCritique API call
import requests
response = requests.post(
"https://api.example.invalid/iqtools/selfcritique",
headers={"Authorization": "Bearer EXAMPLE_KEY_DO_NOT_USE"},
json={
"content": "My proposed project plan...",
"critique_focus": ["completeness", "feasibility"],
"auto_improve": true
}
)
result = response.json()
print(f"Quality score: {result['critique']['overall_score']}")
print(f"Improved version: {result['critique']['improved_version']}")
Typical Usage Examples
Text Review
"Critique this text and suggest improvements"
Email Review
"Check this email for tone and clarity"
Document Check
"Check this concept for completeness"
Code Review
"Critique this code documentation"
Perfect for
- Authors Quality review
- Communicators Tone optimization
- Managers Document review
Time Savings Overview
No measured time-saving or performance figures are available here. Results depend on the task and environment.
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