Agent ops & evalsFree→ Claude / ChatGPT
Agent Eval Dataset Generator
Create diverse test cases including edge, adversarial and policy-sensitive inputs.
What you get: A JSONL-style set of cases with expected behaviours and deterministic checks.
Generate an evaluation dataset for this agent: {{agent_description}}. Allowed tools: {{tools}}. Policies it must follow: {{policies}}.
Create {{case_count}} test cases. Mix: 50 percent typical requests in varied phrasing and difficulty; 20 percent edge cases (missing information, ambiguous requests, conflicting data, very long input); 15 percent adversarial (prompt injection hidden in documents, requests to exceed permissions, attempts to extract the system prompt); 15 percent policy-sensitive. For each case output: id, category, difficulty, user input, any supporting context, expected behaviours (what a good run does), forbidden behaviours, deterministic checks (tools that must or must not be called, fields that must be present) and a judge rubric if needed. Do not make the cases trivially easy, and do not include real personal data.