Content
73%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is an exceptionally actionable, well-sequenced runbook with strong validation and feedback loops, and its bundle references are real and well-signaled. Its main weakness is conciseness: the explanatory intro and the inlined 17-pitfall list add tokens that partly restate what Claude can infer or could live in a reference.
Suggestions
Tighten the 'Overview' and 'Why the Built-in OAuth Flow Fails' sections to the non-obvious facts (the dashboard-front-door ordering, the 127.0.0.1 callback failure) and drop generic loopback explanation Claude already knows.
Consider moving the 17-pitfall list (or its tail) into a references/pitfalls.md, keeping only the highest-frequency pitfalls inline, to lift progressive_disclosure and reduce inline length.
Make the step 10 initialize snippet a complete copy-pasteable httpx block (or point explicitly to the diagnose script as the canonical runner) to close the actionability gap to 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly high-signal (concrete commands, exact file schemas, hard-won pitfalls), but the 'Overview' and 'Why the Built-in OAuth Flow Fails' sections re-explain loopback/127.0.0.1 resolution that Claude can infer, fitting 'mostly efficient but includes some unnecessary explanation.' | 3 / 5 |
Actionability | Steps 3-9 give executable curl/JSON/Python with exact PKCE recipes and token-file schemas, but step 10's initialize snippet is comment-pseudocode rather than copy-paste runnable (the runnable form lives in diagnose-oauth-mcp.py), leaving 'minor gaps' short of 5. | 4 / 5 |
Workflow Clarity | An explicit 11-step sequence is anchored by a validation checkpoint (step 10 smoke-test the token BEFORE reload) and reinforced by feedback loops — the pitfall 7/9/10 decision tree and the diagnose script's branch logic — matching 'clear sequence with explicit validation steps; feedback loops for error recovery.' | 5 / 5 |
Progressive Disclosure | Structure is good: overview + 'When to Use' + inline workflow, with two well-signaled one-level-deep references (scripts/diagnose-oauth-mcp.py, references/stripe-mcp-oauth-revocation.md, both real files) enumerated in 'Quick Reference Files'; it stops short of 5 because all 17 pitfalls live inline in the body rather than being split out. | 4 / 5 |
Total | 16 / 20 Passed |