How to Write a Winning AI Agent Description
Why Your Description is Your Most Important Asset
On AgentPlays, enterprise buyers make their first judgement about your AI agent in under 10 seconds — based entirely on your title and short description. A strong description drives demo clicks and interest requests. A weak one gets scrolled past, no matter how powerful your technology is.
The 4-Part Formula
- WHAT — What does the agent actually do, in plain language?
- WHO — Which industry, team, or role is it built for?
- PROBLEM — What specific pain does it eliminate?
- PROOF — What result or outcome can buyers expect?
"An AI-powered platform leveraging LLM-based orchestration for enterprise knowledge management and automated query resolution workflows."
"Answers employee IT questions instantly using your internal docs — reducing helpdesk tickets by 60% and saving your team 12+ hours per week."
Short Description (150 Characters)
This is what appears on your agent card in search results. It must be punchy, specific, and outcome-focused. Start with a strong verb (Automates, Reduces, Answers, Monitors) and end with a measurable result. Avoid starting with "Our" or "A solution that".
Full Description Structure
- Opening sentence — the problem and who faces it
- Capabilities list — 4–6 bulleted features in plain language
- Use cases — 2–3 industries or roles this agent serves
- Integration note — what tools it connects to (Slack, Jira, SAP, etc.)
- Call to action — "Request a demo" or "Contact us for pricing"
Weak vs winning description structure — clarity always wins
Words to Avoid
- "Revolutionary", "game-changing", "next-generation" — overused and unconvincing
- "AI-powered solution" — this describes every listing on the platform
- "Cutting-edge LLM technology" — buyers care about outcomes, not architecture
- "Seamlessly integrates" — show which specific tools, not just the word
Writing your description for a technical audience. Enterprise buyers are IT directors, operations managers, and HR leads — they care about business outcomes, not model architecture. Write for the decision-maker, not the developer.
Your description is live on AgentPlays in front of thousands of enterprise buyers.