Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a lean, well-organized reference catalog with good progressive disclosure and existing SDK references, but it lacks executable code and explicit validation checkpoints, capping actionability and workflow clarity at 2.
Suggestions
Add at least one copy-paste-ready executable example per primary service (e.g., a minimal python/az CLI snippet for AI Search and Speech) to lift actionability from 2 to 3.
Add a short ordered workflow with an explicit verification step — e.g., list index -> run query -> verify result count — so multi-step operations have a validation checkpoint.
Fill the empty CLI / MCP tool cells (Document Intelligence, OpenAI CLI) or note explicitly when SDK-only access applies, rather than leaving '-' placeholders.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body uses compact tables and short bullets without explaining concepts Claude already knows; every section earns its place. Not level 2 because there is no unnecessary explanation to tighten. | 3 / 3 |
Actionability | MCP tool commands are concrete ("azure__search with command search_query"), but many table cells are empty ("-"), there is no executable code, and CLI guidance is sparse — some concrete guidance but incomplete. | 2 / 3 |
Workflow Clarity | There is a conditional branch ("If Azure MCP is not enabled: Run /azure:setup") but no explicit multi-step sequence or validation checkpoints for operations that warrant them. Not level 1 because a sequence/branch is present; not level 3 because validation checkpoints are absent. | 2 / 3 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references into references/sdk/; all 13 referenced SDK files exist and navigation is easy. Matches the clear-overview anchor. | 3 / 3 |
Total | 10 / 12 Passed |