Lesson 1768 of 2116
Agentic AI: Write Tool Descriptions That Agents Use Correctly
Most agent tool-misuse comes from sloppy tool descriptions; rewrite each tool's name, description, and parameter docs as if briefing a new contractor.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2tool description
- 3tool selection
- 4when-not-to-use
Concept cluster
Terms to connect while reading
Section 1
The premise
An agent can only choose a tool well if the description is unambiguous; the same prompt with cleaner tool docs often outperforms model upgrades.
What AI does well here
- Name tools with the verb-object pattern
- Describe when to use AND when not to use
- Document parameter constraints, units, and examples
- Show one good and one bad call example
What AI cannot do
- Test whether the rewrite actually improves agent behavior
- Eliminate model bias toward whichever tool is listed first
- Replace overlapping tools — only highlight the overlap
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “Agentic AI: Write Tool Descriptions That Agents Use Correctly”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 11 min
Multi-Tool Coordination: When Agents Use 20+ Tools
Production agents may have many tools. Tool coordination — selection, sequencing, recovery — is its own discipline.
Creators · 48 min
Computer Use API: Letting AI Click Through GUIs
Computer Use lets Claude see your screen and use it — mouse, keyboard, apps. The capability is real, the gotchas are real. A hands-on look at what works in 2026.
Creators · 45 min
Browser Agents: Capabilities and Pitfalls
Browser agents — Operator, Atlas, Browser Use, MultiOn — are the most visible agent category. The capability is genuine, the failure modes are specific. Build with eyes open.
