Tool Description Optimizer

What it does

A skill's description is its only discovery mechanism. If the description is vague, overlapping, or keyword-poor, the agent won't trigger it — or worse, will trigger the wrong skill. Tool Description Optimizer analyzes every installed skill's description for trigger quality and suggests concrete rewrites.

Inspired by OpenLobster's tool-description scoring layer, which penalizes vague descriptions and rewards keyword-rich, action-specific ones.

When to invoke

• After installing new skills — check if descriptions are trigger-ready
• When a skill isn't firing when expected — diagnose whether the description is the problem
• Periodically to audit all descriptions for quality drift
• Before publishing a skill — polish the description for discoverability

How it works

Scoring dimensions (5 metrics, 0–10 each)

Metric	What it measures	Weight
Clarity	Single clear purpose, no ambiguity	2x
Specificity	Action verbs, concrete nouns vs. vague terms	2x
Keyword density	Trigger-relevant keywords per sentence	1.5x
Uniqueness	Low overlap with other installed skill descriptions	1.5x
Length	Optimal range (15–40 words) — too short = vague, too long = diluted	1x

Quality grades

Grade	Score range	Meaning
A	8.0–10.0	Excellent — high trigger accuracy expected
B	6.0–7.9	Good — minor improvements possible
C	4.0–5.9	Fair — likely to miss triggers or overlap
D	2.0–3.9	Poor — needs rewrite
F	0.0–1.9	Failing — will not trigger reliably

How to use

python3 optimize.py --scan                    # Score all installed skills
python3 optimize.py --scan --grade C          # Only show skills graded C or below
python3 optimize.py --skill <name>            # Deep analysis of a single skill
python3 optimize.py --suggest <name>          # Generate rewrite suggestions
python3 optimize.py --compare "desc A" "desc B"  # Compare two descriptions
python3 optimize.py --status                  # Last scan summary
python3 optimize.py --format json             # Machine-readable output

Procedure

Step 1 — Run a full scan

python3 optimize.py --scan

Review the scorecard. Focus on skills graded C or below — these are the ones most likely to cause trigger failures.

Step 2 — Get rewrite suggestions for low-scoring skills

python3 optimize.py --suggest <skill-name>

The optimizer generates 2–3 alternative descriptions with predicted score improvements.

Step 3 — Compare alternatives

python3 optimize.py --compare "original description" "suggested rewrite"

Side-by-side scoring shows exactly which metrics improved.

Step 4 — Apply the best rewrite

Edit the skill's

SKILL.md

frontmatter

description:

field with the chosen rewrite.

Vague word penalties

These words score 0 on specificity — they say nothing actionable:

helps

,

manages

,

handles

,

deals with

,

works with

,

does stuff

,

various

,

things

,

general

,

misc

,

utility

,

tool for

,

assistant for

Strong trigger keywords (examples)

scans

,

detects

,

validates

,

generates

,

audits

,

monitors

,

checks

,

reports

,

fixes

,

migrates

,

syncs

,

schedules

,

blocks

,

scores

,

diagnoses

State

Scan results and per-skill scores stored in

~/.openclaw/skill-state/tool-description-optimizer/state.yaml

.

Fields:

last_scan_at

,

skill_scores

list,

scan_history

.

Notes

• Does not modify any skill files — analysis and suggestions only
• Uniqueness scoring uses Jaccard similarity against all other installed descriptions
• Length scoring uses a bell curve centered at 25 words (optimal)
• Rewrite suggestions are heuristic-based, not LLM-generated — deterministic and fast