Back to evaluations
Public evaluation

PolicyViolationDetection

The evaluation will assess the system's ability to accurately identify policy violations, its adaptability in reasoning, and the efficiency of its agent communication within the LangGraph framework. Emphasis will be placed on the correct implementation of MCP for tool calls and dynamic budget allocation.

Evaluation type
task based
Challenge
Build MCP-Enabled Social Media Policy Enforcement Agents
Difficulty
Advanced
Rigor
Unspecified

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
1
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

PolicyViolationDetection

Evaluates the system's ability to identify specific policy violations from synthetic social media posts.

Input format

{ 'social_media_posts': [{'id': 'str', 'text': 'str', 'author_id': 'str'}], 'company_policies': [{'id': 'str', 'text': 'str'}] }

Output format

{ 'alerts': [{'post_id': 'str', 'violation_type': 'str', 'reasoning': 'str', 'severity': 'low|medium|high', 'adaptive_budget_used': 'float'}] }