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rog0x
by rog0x

generate_typescript

Convert JSON data or JSON Schema into TypeScript interfaces and types. Supports nested structures, arrays, optional fields, enums, unions, and records.

Instructions

Generate TypeScript interfaces and types from JSON data or a JSON Schema. Handles nested objects, arrays, optional fields, enums, union types, and Record types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jsonNoSample JSON data to convert to TypeScript types. Provide either this or 'schema'.
schemaNoA JSON Schema to convert to TypeScript types. Provide either this or 'json'.
root_nameNoName for the root interface/type (default: 'Root')
Behavior3/5

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

With no annotations, the description carries the full transparency burden. It adds meaningful behavioral detail by listing supported constructs (nested objects, arrays, optional fields, enums, unions, Record types), but it does not explain behavior when both json and schema are provided, what the exact output artifact is, or any edge-case behavior.

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

Conciseness5/5

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

Single sentence, front-loaded with the action, then a compact capability list. No filler words or redundant restatement of the schema.

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

Completeness4/5

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

Given three simple parameters, full schema description coverage, and no output schema, the definition is largely complete: an agent knows the purpose, inputs, and optional root name. The only meaningful gap is the missing precedence/conflict behavior for supplying both inputs, which is a common edge case for this kind of tool.

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 input schema already documents all three parameters, including the either/or intent on json/schema and root_name's default, so the description does not need to repeat parameter details. It does add a little context by implying the parsed structures may include nested/enum/union constructs, but that is not parameter-specific, so baseline 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?

States a specific verb ('Generate'), a resource ('TypeScript interfaces and types'), and two supported input forms ('JSON data or JSON Schema'). The direction is clear enough to distinguish it from siblings like generate_json_schema, which produces schemas rather than TS types.

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

Usage Guidelines3/5

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

The intended use is implied: provide JSON or a JSON Schema and receive TypeScript types. However, there is no explicit 'use this instead of X' guidance, no mention of when to choose generate_json_schema, validate_schema, mock_from_schema, or diff_schemas, and no prerequisites or exclusions.

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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