Evaluate a Transcript
Evaluate supplied messages against configured policies and explain the returned result.
/oo MetatextAI: List policies, then evaluate this transcript against [policy IDs]: [messages]. Explain any reported violations.
An AI assistant can help inspect MetatextAI guardrail policies, evaluate supplied chat transcripts and interpret test-scan results.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Evaluate supplied messages against configured policies and explain the returned result.
/oo MetatextAI: List policies, then evaluate this transcript against [policy IDs]: [messages]. Explain any reported violations.
Run selected probes against the connected application and summarize reported findings.
/oo MetatextAI: Run a test scan using probes [probes] and summarize the returned findings.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Provide a MetatextAI auth token and an existing application ID.
Connect MetatextAI →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
An AI assistant can help inspect MetatextAI guardrail policies, evaluate supplied chat transcripts and interpret test-scan results.
Evaluate supplied messages against configured policies and explain the returned result.
Run selected probes against the connected application and summarize reported findings.
List all guardrail policies configured for the connected MetatextAI application.
metatextai.list_policies Create one guardrail policy for the connected MetatextAI application.
metatextai.create_policy Evaluate one chat transcript against the connected MetatextAI application's configured guardrails.
metatextai.evaluate Run a MetatextAI red-team test scan for the connected application with the selected probes.
metatextai.run_test_scan No matching tools.
Yes. Provide the policy IDs with the messages to evaluate; listing policies helps identify the application’s available policy IDs.
Provide a MetatextAI auth token and an existing application ID.
Supply the transcript or selected probes and application context. Evaluation results are guardrail signals, not a guarantee that a conversation is safe.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.