Content
65%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.
A well-organized, largely actionable catalog: concrete model calls, parameter tables, and practical tips. Main weaknesses are the missing async-job workflow (when/how to poll result vs status) and a monolithic single-file layout that inlines per-model and non-MCP material that belongs in one-level-deep reference files.
Suggestions
Add an explicit async workflow section: call generate → poll `result` (or `status`) until complete → `cancel` on abort, clarifying when each tool applies.
Move the ElevenLabs and VideoDB non-MCP alternatives, and optionally the per-model parameter tables, into references/ files linked one level deep (e.g. "See ALTERNATIVES.md").
Trim "## When to Activate" since it duplicates the frontmatter description's trigger clause, and fold redundant Tips back into the parameter tables.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean — code calls, parameter tables, and terse "Best for" lines — but "## When to Activate" duplicates the frontmatter description's triggers and a few Tips restate table notes. Minor trims possible, so anchor 4 rather than 5. | 4 / 5 |
Actionability | Concrete calls like `generate(model_name: "fal-ai/nano-banana-2", input: {"prompt": ..., "image_size": "landscape_16_9"})` give exact tool names and real parameter values, but use a pseudo-call notation with placeholders ("<uploaded_url>", `estimate_cost(... input: {...})`). Mostly executable with minor gaps — anchor 4, not 3 since parameter names and values are complete. | 4 / 5 |
Workflow Clarity | Sequences exist implicitly (upload → generate with image_url; "Before generating, check estimated cost"), but the async job loop is never sequenced: `result`, `status`, and `cancel` are listed with one-line glosses and no guidance on polling a long-running video generation. Sequence present but checkpoints missing or implicit — anchor 3; not 4 because the async-video gap is a real workflow hole (no destructive/batch cap applies). | 3 / 5 |
Progressive Disclosure | A single ~270-line file with no reference files: well-sectioned and navigable (so not anchor 2), but per-model detail and the non-MCP alternatives (full ElevenLabs API code, VideoDB snippets) are inlined rather than split into one-level-deep references. "Content that should be separate is inline" — anchor 3, not 4 since there is no reference structure at all. | 3 / 5 |
Total | 14 / 20 Passed |