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create-complete-application

Generate a complete TypeScript application from a natural language project request using the Zopio framework.

Instructions

⭐ ZOPIO FRAMEWORK İLE TAM OTOMATİK UYGULAMA ÜRETİCİSİ! ⭐

🚨 ZORUNLU KURALLAR: ✅ SADECE Zopio Framework kullanılacak ✅ SADECE TypeScript (.ts/.tsx) dosyaları oluşturulacak ❌ Manuel Next.js/React kurulumu YASAK ❌ JavaScript (.js/.jsx) dosyaları YASAK

📝 KULLANIM: Doğal dille proje isteğinizi yazın, Zopio ile TypeScript tabanlı tamamen çalışır uygulama alın.

💡 ÖRNEKLER: • 'Kuaför randevu uygulaması lazım' • 'Restoran sipariş sistemi istiyorum' • 'E-ticaret sitesi' • 'Blog uygulaması'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userRequestYesDoğal dille yazılmış proje isteği. HER TÜRLÜ UYGULAMA TALEBİ için bu tool'u kullan! Zopio framework ile TypeScript (.ts) dosyaları oluşturulacak. Örnek: 'Kuaför randevu sistemi', 'E-ticaret sitesi', 'Blog uygulaması', 'Restoran menü sistemi', 'Hastane randevu sistemi'
Install Server

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses strict rules: only Zopio framework, only TypeScript files, no JavaScript, no manual Next.js/React setup. However, it does not mention prerequisites such as needing setup-zopio-app first, nor what a successful call returns or whether existing files might be affected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized into clear sections: rules, usage, and examples. It front-loads the most important constraints and keeps the overall length reasonable, though some constraints are repeated and the exclamation-heavy style adds noise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema, the description covers input, examples, and hard constraints fairly well. However, it does not explain the expected output/return of the creation process or the dependency on setup-zopio-app, which are relevant gaps for an agent invoking the tool safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The userRequest parameter is fully documented in the schema with description and examples, and the tool description repeats similar examples and constraints. The description adds no significant semantic detail beyond what the schema already provides, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description immediately identifies the tool as a fully automatic application generator using the Zopio framework and TypeScript, with explicit constraints. This clearly distinguishes it from the sibling tools (setup, stop, check status) since its role is to create the application itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description and parameter schema clearly state that this tool should be used for any natural-language application request, with examples of typical requests. It does not explicitly name alternatives or exclusion cases, but the usage context is unambiguous for app generation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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