Content
61%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 a lean, actionable overview with a concrete executable submission example, but it is undermined by two issues: the post-submission workflow (status tracking, result retrieval) has no steps or validation checkpoints, and all four referenced detail files are missing from the bundle, leaving the promised progressive-disclosure layer empty. Redundant 'Important Notes' add minor token cost.
Suggestions
Add the missing reference files (experiments.md, protein_optimization.md, api_reference.md, examples.md) to a references/ directory — or inline the essential status-tracking and result-download snippets — since every detailed path currently cited in the body is a dead link.
Sequence the full experiment lifecycle (submit → confirm experiment_id → poll/webhook for status → download results) with validation checkpoints such as checking the HTTP status code and error message before proceeding.
Trim the 'Important Notes' section: the alpha/beta status, ~21-day turnaround, and support email each already appear earlier in the body, so state each fact once.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes competence (no explanation of what proteins or REST APIs are), but the 'Important Notes' section repeats facts already stated inline: 'Platform is currently in alpha/beta phase' duplicates 'platform is in alpha/beta', '~21 days' duplicates line 1 of the intro, and the support email appears twice. This is 'efficient; minor instances of over-explanation that could be trimmed' — not 5 because of that redundancy, not 3 because nothing explains concepts Claude already knows. | 4 / 5 |
Actionability | Auth setup ('export ADAPTYV_API_KEY=...'), install ('uv pip install requests python-dotenv'), and submission are concrete and executable (a real requests.post call with base_url, headers, and JSON payload). Not 5 because the other half of the workflow — 'tracking experiment status, downloading results' — has no inline code or commands and is deferred to reference files, and the sample has no error handling; not 3 because the submission path shown is copy-paste ready rather than pseudocode. | 4 / 5 |
Workflow Clarity | A rough sequence exists (auth → install → submit experiment) but the post-submission lifecycle (track status → receive webhook → download results) has no sequenced steps, only a bullet list under 'Recommended tools' and 'Available Experiment Types'. There are no validation checkpoints (no check of the HTTP response status, no confirmation that experiment_id was returned before proceeding). This matches 'steps listed but validation gaps; sequence present but checkpoints missing'. | 3 / 5 |
Progressive Disclosure | The body is structured as a clean overview with well-signaled one-level references ('See reference/experiments.md', 'reference/protein_optimization.md', 'reference/api_reference.md', 'reference/examples.md'), but none of these files exist — the bundle contains no references/, scripts/, or assets/ directories at all. Per the guideline to score against the actual bundle structure, every referenced path is dead, so the detailed content (full API docs, examples, optimization workflows) is unreachable and the disclosure structure is effectively broken. | 2 / 5 |
Total | 13 / 20 Passed |