Content
71%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 strong, well-structured body: concrete tool schemas, per-phase objectives, decision matrices, edge cases, and honest limitations make it highly actionable. The main weaknesses are a monolithic single-file layout with ~100 lines of inline tool API reference that belongs in a reference file, and no explicit error-recovery loops or executable tool-call examples.
Suggestions
Split the per-phase tool input/output listings (Phases 0, 1, 4) into a references/ file (e.g., TOOLS.md) and keep a short tool summary in SKILL.md, moving the layout toward a true overview-plus-reference structure.
Add one concrete example of an actual ToolUniverse tool call (or a Bash/Python snippet executing the Phase 0→1 flow) so guidance is copy-paste executable rather than descriptive.
Add a brief error-recovery note per phase for tool failures or empty search results (retry with alternate query form, fall back to substructure search) to close the feedback-loop gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and information-bearing — tool tables, per-database scope, decision matrices, and evidence grades with almost no teaching of concepts Claude already knows. Minor trimmable content keeps it below score 5: the opening paragraph restates the frontmatter description, and the generic 'LOOK UP, DON'T GUESS' / 'COMPUTE, DON'T DESCRIBE' directives are agent boilerplate not specific to sourcing. It is well above the score-3 anchor, whose 'unnecessary explanation' would be more pervasive than this. | 4 / 5 |
Actionability | Concrete guidance throughout: named tools with exact input/output fields ('PubChem_get_CID_by_compound_name -- Input: name, Output: {IdentifierList: {CID: [...]}}'), specific property-name corrections ('ConnectivitySMILES (not CanonicalSMILES)'), ranking criteria, and Tanimoto thresholds. It falls short of the score-5 fully copy-paste-ready anchor because no actual tool-call example (or Bash/Python snippet) is shown — workflows describe what to call but not what a call looks like. | 4 / 5 |
Workflow Clarity | A clear six-phase pipeline with objectives per phase, explicit checkpoints ('Always confirm the SMILES matches the intended compound before proceeding', 'Flag any structural mismatches'), fallback paths (analog search when unavailable, custom synthesis when no vendors), and a red-flags checklist. It does not reach score 5 because there are no error-recovery loops for tool failures or empty results mid-phase — the recovery guidance is one directional (proceed to next phase) rather than validate-fix-retry. | 4 / 5 |
Progressive Disclosure | Well-organized with clear section headers, but it is a single 260-line monolith with no bundle files: the ~100-line per-phase tool API reference (inputs/outputs for every tool) is inline content that would be better split into a reference file, leaving SKILL.md as an overview. This matches the score-3 anchor ('some structure... content that should be separate is inline') rather than score 4, which requires most content appropriately placed across files. | 3 / 5 |
Total | 15 / 20 Passed |