Conversational apps need capability catalogs

Readers do not need to know how many models you connected. They need to know which jobs the agent can complete safely.

Useful for: AI tools, global SaaS teams, internal automation teams

OpenAI Developers documentation screenshot of the MCP Inspector interface
Image source: OpenAI Developers.

Separate reader traffic

OpenAI Agents documentation puts models, tools, memory, handoffs, and safety boundaries into one build framework.

Break product capabilities into reading, writing, generating, querying, submitting, paying, and publishing, then state the confirmation path for each tier.

Requests are not readers

The useful question is not whether traffic looks busy; it is which activity represents readers, monitoring, crawlers, retries, or system errors.

Check the logs first

  • Turn `ai-agent-workflow-en` resource cards into a capability catalog with permission tiers
  • Keep the test narrow: one low-risk task or tool entry before connecting permissions, logs, failure handling, and human takeover to production

What still needs proof

Without a capability catalog, a conversational product looks like another generic chatbot instead of a reusable workflow. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.

AI agentcapability catalogpermission tiers