Design a capability discovery model so agents can use new tools without becoming unstable.

Instruction: Discover tool metadata through a reviewed registry and refresh it using the pinned protocol's cache semantics.

Context: Introduce new capabilities without letting an unreviewed description or stale tool catalog change agent behavior unpredictably.

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I would separate discovering a tool from enabling it. A registry records server origin, owner, schema version, effect, data scope, and review status. The host gives the model a small relevant subset rather than every tool available across the organization.

For MCP 2026-07-28, list responses include cache...

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Your preparation path

Work through these questions in order. Read the answer aloud, then explain it in your own words.

1. Start with the foundations

Build the vocabulary and explain the core decisions.

  1. When should a model call a tool instead of answering from context? Free sample
  2. How would you explain MCP to a product engineer in one minute? Free sample
  3. What information should the orchestrator validate before executing a tool call? Free sample

2. Apply it to a real workflow

Practice diagnosis, validation, and everyday tradeoffs.

  1. Why do idempotency and retries matter more with AI-driven tool use? Free sample
  2. How do you keep permission boundaries clear when many tools share overlapping capabilities? Member answer
  3. A user revokes access to a connected app mid-session. How should the AI workflow behave? Member answer

3. Prepare for senior discussions

Explain failure boundaries, recovery, and production choices.

  1. Design a fallback strategy when tools are unavailable, degraded, or unauthorized. Member answer
  2. How do you implement MCP step-up authorization without losing scopes or retrying forever? Member answer
  3. An MCP request resumes after user confirmation. How would you validate its requestState? Member answer

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