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devtu-optimize-descriptions

Optimize tool descriptions in ToolUniverse JSON configs for clarity and usability.

Skill by Zaoqu-Liu

IndexedMIT★ 60
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Optimize tool descriptions in ToolUniverse JSON configs for clarity and usability. Reviews descriptions for missing prerequisites, unexpanded abbreviations, unclear parameters, and missing usage guidance. Use when reviewing tool descriptions, improving API documentation, or when user asks to check if tools are easy to understand.

Use cases: backend

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/devtu-optimize-descriptions

What's inside

Skill name
devtu-optimize-descriptions
Description
Optimize tool descriptions in ToolUniverse JSON configs for clarity and usability. Reviews descriptions for missing prerequisites, unexpanded abbreviations, unclear parameters, and missing usage guidance. Use when reviewing tool descriptions, improving API documentation, or when user asks to check if tools are easy to understand.
License
MIT
Instructions
344 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# ToolUniverse Tool Description Optimization

Optimize tool descriptions in ToolUniverse JSON configuration files to ensure they are clear, complete, and user-friendly.

## When to Apply This Skill

Use when:
- Reviewing newly created tool descriptions
- User asks "are these tools easy to understand?"
- Improving existing tool documentation
- Adding new tools to ToolUniverse
- User mentions tool usability, clarity, or documentation

## Quick Optimization Checklist

```markdown
Tool Description Review:
- [ ] Prerequisites stated (packages, API keys, accounts)
- [ ] Critical abbreviations expanded on first use
- [ ] Required vs optional parameters clear
- [ ] Mutually exclusive options numbered/labeled
- [ ] Parameter guidance includes trade-offs
- [ ] Filter syntax shows available fields
- [ ] File size warnings where relevant
- [ ] Examples show realistic usage
```

## Critical Improvements (Fix Immediately)

### 1. Clarify Required Input Requirements

**Problem**: Users don't know if they need ONE input or ALL inputs.

**Fix**: Use "**Required: Provide ONE input type**" for mutually exclusive options.

```json
// Before
"description": "Process BED regions, motifs, or gene lists..."

// After
"description": "Process genomic data. **Required: Provide ONE input type** - (1) BED regions, (2) DNA motif, or (3) gene list. Analyzes..."
```

Number the options and use bold for "Required".

### 2. Add Prerequisites to First Tool

**Problem**: Users don't know what to install/configure before use.

**Fix**: Add prerequisites note to first tool in each family.

```json
"description": "Query single-cell data. Prerequisites: Requires 'package-name' (install: pip install tooluniverse[extra]). Returns..."
```

Include:
- Package installation command
- API key requirements
- Account creation instructions

### 3. Expand Critical Abbreviations

**Problem**: New users don't understand technical terms.

**Fix**: Expand on first use with format: "Abbreviation (Full Name)".

Common abbreviations to expand:
- H5AD → HDF5-based AnnData
- RPM → Reads Per Million
- TSS → Transcription Start Site
- TAD → Topologically Associating Domain
- DRS → Data Repository Service
- API names (MACS2, IUPAC, etc.)

```json
// Before
"description": "Download H5AD files..."

// After  
"description": "Download H5AD (HDF5-based AnnData) files..."
```

## High-Priority Improvements

### 4. Enhance Filter Parameter Descriptions

**Problem**: Users don't know what fields are available or what syntax to use.

**Fix**: List operators, common fields, and provide multiple examples.

```json
"parameter_name": {
  "type": "string",
  "description": "Filter using SQL-like syntax. Format: 'field == \"value\"'. Operators: ==, !=, in, <, >, <=, >=. Combine with 'and'/'or'. Common fields: tissue, cell_type, disease, assay, sex, ethnicity. Examples: 'tissue == \"lung\"', 'disease == \"COVID-19\" and tissue == \"lung\"', 'cell_type in [\"T cell\", \"B cell\"]'."
}
```

Include:
- Syntax format
- Available operators
- List of 5-10 common fields
- 2-3 diverse examples

### 5. Improve Parameter Guidance

**Problem**: Users don't know which value to choose or what trade-offs exist.

**Fix**: Explain what each value means and provide recommendations.

```json
// Before
"threshold": "Q-value threshold (05=1e-5, 10=1e-10, 20=1e-20)"

// After
"threshold": "Peak calling stringency. '05'=1e-5 (permissive, more peaks, broad features), '10'=1e-10 (moderate, balanced), '20'=1e-20 (strict, high confidence, narrow peaks). Default '05' suitable for most analyses. Higher values = fewer but more confident peaks."
```

For each parameter option, explain:
- What it means practically

From Zaoqu-Liu/ScienceClaw, MIT.

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Last commit (this folder)
Mar 6, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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devtu-optimize-descriptions skill. Agent Mart. https://agentmart.dev/skills/zaoqu-liu-devtu-optimize-descriptions (last updated 2026-10-24)