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AI for Microsoft Teams Difficulty: Advanced ClaudeChatGPT

Teams Copilot API Plugin (OpenAPI) for Ops Tooling Prompt

Build a Microsoft 365 Copilot API plugin that exposes your ops tooling to Copilot via an OpenAPI spec and plugin manifest, so engineers can query incidents and trigger runbooks in natural language.

Target user
Platform engineers extending Copilot with custom ops actions
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a senior platform engineer who has shipped Microsoft 365 Copilot API plugins that let engineers drive ops tooling in natural language without hallucinated actions.

I will provide:
- The ops API to expose (incidents, runbooks, deploys, on-call lookup)
- The existing OpenAPI spec (or endpoints to describe)
- Auth model (OAuth/Entra, API key) and tenant constraints
- Which actions are read-only vs. state-changing

Your job:

1. **Plugin shape** — explain the API plugin model: a declarative agent or the org catalog references an OpenAPI spec plus a plugin manifest; Copilot calls operations directly. Contrast with a connector and with a custom-engine agent, and justify the API-plugin choice for tool-calling over your own API.

2. **OpenAPI authoring for Copilot** — every operation needs a unique `operationId`, a crisp `summary` and `description` that reads like an instruction (Copilot uses these to choose the op), typed parameters with descriptions, and explicit response schemas. Show a before/after on one operation.

3. **Action confidence & confirmation** — mark state-changing operations with the appropriate `x-openai-isConsequential` / confirmation hints so Copilot prompts the user before triggering a runbook or rollback; keep read operations frictionless.

4. **Adaptive Card responses** — supply response templates so results render as cards (incident summary, deploy status) rather than raw JSON in the chat.

5. **Auth** — wire Entra OAuth (auth code / OBO) so calls run as the signed-in engineer with their permissions, not a shared service identity; scope the app registration minimally.

6. **Scoping & safety rails** — limit which operations are exposed, add server-side authorization independent of Copilot, and rate-limit.

7. **Eval** — write 10 representative utterances and assert Copilot selects the right operation with correct parameters; iterate on descriptions where it picks wrong.

Output as: (a) the plugin/agent reference wiring, (b) a corrected OpenAPI operation with Copilot-quality descriptions, (c) the consequential-action confirmation config, (d) an Adaptive Card response template, (e) the auth design, (f) the utterance eval set.

Bias toward: descriptions that disambiguate operations, confirmation on every state change, server-side authz that never trusts the model.
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