🛠️ Tool Schema Generator

Generate provider-specific tool definitions from field rows, validate names/types/enums, and copy reproducible JSON summaries for agent tool contracts.

ValidateValidate data with exact JSON-path diagnostics.ConvertInfer and convert deterministic schema drafts.Wrap ToolWrap a schema for OpenAI, Anthropic, or MCP.Generate ToolDraft typed tool fields and provider wrappers.

Direct links still open each individual tool URL with the matching workbench tab active. Inputs stay local to the browser on these tabs unless a specific tool says otherwise.

Tool name

Format

Description

Search available tools by keyword and return matching tool IDs.

Fields — name | type | required | description | optional enum values

query | string | yes | Search query
limit | integer | no | Maximum number of results | 3,5,10
category | string | no | Optional category filter | text,ai,developer

Generated definition

Schema checks · Supported subset · `utilito.schema-contract.v1`

Validates portable tool names and field names.
Checks supported JSON Schema field types: string, number, integer, boolean, array, and object.
Flags duplicate fields, missing descriptions, unsupported types, and enum/type mismatches.
Generates provider-specific OpenAI, Anthropic, MCP, or plain JSON Schema outputs from the same deterministic core.

Tool-calling contract workflow

Step 1: schema generation. Draft the deterministic field contract here, then move to JSON Schema to Tool Definition when you already have a schema to wrap, and finish in Tool Calling Validator to validate provider fixtures.

This keeps agent discoverability and API documentation aligned: the copied JSON summary can be reused in OpenAI, Anthropic, MCP, or internal deterministic API examples without sending data to a model.

Runs in your browser

Tool schema generation runs locally in your browser. Shared links only include schema text when you explicitly opt in.

Include current input in shared/debug payload

What this tool does

Tool Schema Generator drafts provider-specific AI tool schemas for OpenAI, Anthropic, MCP, or plain JSON Schema consumers.

Why it is useful

It helps developers define fields, types, descriptions, required properties, enums, and provider wrappers for agent tools with fewer shape mistakes.

How it works

The browser parses one field per line, validates names and types, then wraps the same JSON Schema object for the selected provider.

Best input

Use precise field names, narrow enum values, and descriptions that explain when and how the model should fill each field.

Design tip

Keep tool inputs narrow and explicit; large vague schemas are harder for models to call correctly and harder for runtimes to validate.

Privacy note

Schema generation happens locally in your browser.

Important limitation

Generated schemas still need validation against the exact provider, SDK, framework, or runtime schema library you deploy with.

Quick answers

Are descriptions important?

Yes. Models use descriptions to choose tools and fill field values.

Can one tool do everything?

Usually no. Smaller focused tools are easier to validate and operate safely.

Common Use Cases

Draft an OpenAI tool definition

Turn field rows into an OpenAI-compatible function tool payload with parameters and required fields.

Compare provider wrappers

Switch between OpenAI, Anthropic, MCP, and plain JSON Schema while keeping the same deterministic field contract.

Catch schema mistakes early

Find duplicate field names, unsupported types, missing descriptions, and suspicious enum usage before wiring a tool into an agent.

Agent MCP and tool schema workflow

Draft MCP client config, generate tool schemas, convert JSON Schema into provider tool definitions, and validate tool-call payloads before wiring an agent.

🔌MCP Config Generator 🔁JSON Schema to Tool Definition ✅Tool Calling Validator ✅JSON Schema Validator 🔄Schema Converter 🧰Context Workbench

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