Content
75%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 well-structured, mostly lean, and actionable with a runnable code skeleton and concrete workflows. It could tighten a few redundant lines and add an explicit retry loop for batch operations.
Suggestions
Add a validate->fix->retry feedback loop for batch/large trademark pulls to strengthen workflow_clarity beyond an implicit checkpoint.
Provide a short runnable TSDR or assignment request example rather than only numbered steps, to match the actionability of the PatentSearch section.
Trim the 'When to Use' list where it restates the frontmatter description to reduce token redundancy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and assumes Claude's competence (no padding about what a patent is), with minor redundancy such as the 'When to Use' section restating the description and a few sentences that could be trimmed. | 4 / 5 |
Actionability | Provides an executable Python PatentSearch skeleton and concrete numbered workflows; minor gaps include the absence of a runnable TSDR/assignment code example alongside the steps. | 4 / 5 |
Workflow Clarity | Multi-step workflows are clearly sequenced with embedded verification checkpoints ('verify current endpoint names', 'cross-check document dates', Review Checklist), though no explicit validate->fix->retry feedback loop is shown for batch pulls. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly labeled sections with external URLs as references; some inline material (the full code skeleton, log table) could be split into reference files, but structure and navigation are good. | 4 / 5 |
Total | 16 / 20 Passed |