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Public evaluation

IncidentDetectionAndResolution

The evaluation will assess the system's ability to autonomously detect, diagnose, and propose/execute remediation for simulated cloud incidents. Key metrics will include incident resolution time, accuracy of root cause analysis, and effective use of A2A communication and MCP tools.

Evaluation type
task based
Challenge
A2A Incident Response Agents
Difficulty
Advanced
Rigor
Unspecified

Evaluation overview

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

Tasks
2
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

IncidentDetectionAndResolution

Simulate a cloud incident and evaluate if the agents detect it, perform root cause analysis, and suggest/execute remediation.

Input format

JSON object with 'incident_type', 'error_logs', 'metrics_data'

Output format

JSON object with 'incident_id', 'status', 'root_cause_analysis', 'remediation_plan', 'executed_actions'

Task 2

A2ACommunicationFlow

Verify that agents correctly communicate and pass information between themselves using the A2A protocol.

Input format

JSON object representing the incident context.

Output format

Log of A2A messages exchanged between agents.