Skip to content
Novus Examples
json200 B

Tool Function JSON Schema

JSON Schema for a sample weather tool's parameters.

Tool calling / function callingSchema / OpenAPI testing
Preview — first 15 linesjson
{
  "name": "get_weather",
  "parameters": {
    "type": "object",
    "properties": {
      "city": {
        "type": "string"
      }
    },
    "required": [
      "city"
    ]
  }
}

Specifications

Function
get_weather

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Tool Function JSON Schema” is a deterministic Novus Examples fixture for Tool calling / function calling, Schema / OpenAPI testing. JSONL traces of function/tool calls with arguments and results — for testing agent harnesses and tool routers.

Documented properties for this file: JSON · 200 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

AI/ML fixtures are fully synthetic with documented schemas — no real people or data. Test data loaders, tokenizers, annotation converters, embedding/vector stores, or eval-metric parsers against the known structure and fixed seeds.

These JSON fixtures are synthetic SAMPLE auth or tool-call shapes for harnesses — never production secrets or live tokens. Validate schema fields and alg variants against the documented role.

Code examples

import json

with open("tool-json-schema.json") as f:
    data = json.load(f)
print(type(data), len(data))

Related files

Generated by generation/ai_wave_f.py. Free for any use, no attribution required — license.