Build Anthropic Tool Input Schemas Without Hand-Writing input_schema
Turn sample JSON parameters into a Claude tool definition so tool use stays strict and predictable.
Why this workflow matters
Claude tool definitions are simple, but writing input_schema manually for every tool adds friction and small contract mistakes. Starting from sample inputs is faster and produces a cleaner baseline.
What success looks like
- Create Claude tool definitions faster.
- Reduce manual wrapper mistakes around input_schema.
- Use sample inputs to standardize tool contracts across a team.
Best tools for this job
Anthropic Tool Input Builder
Build Claude tool definitions with `input_schema` from sample JSON input
Structured Output Schema Builder
Generate OpenAI, Anthropic, MCP, or plain JSON Schema wrappers from sample output
JSON Schema 検証
スキーマに沿って JSON を検証
JSON → TypeScript
JSON から型とインターフェースを生成
Recommended workflow
- 1
Paste a representative JSON object showing the tool arguments you want Claude to generate.
- 2
Set the tool name and description in Anthropic Tool Input Builder.
- 3
Copy the generated definition into your Anthropic tools array and validate it if you need stronger guarantees.
Related guides and examples
Start with Anthropic Tool Input Builder
This workflow is anchored on Anthropic Tool Input Builder. Open it first, then move through the supporting steps only if the payload, request, or output still needs more work.
Open Anthropic Tool Input Builder関連ツール
Structured Output Schema Builder
Generate OpenAI, Anthropic, MCP, or plain JSON Schema wrappers from sample output
MCP Tool Schema Validator
Validate MCP tool definitions and verify `inputSchema` before deployment
JSON Schema 生成
サンプル JSON からスキーマを生成
LLM JSON Output Validator
Repair and validate model JSON output against a schema