What is a JSON?
JSON (JavaScript Object Notation) is a lightweight, text-based data format that represents structured information as nested key-value pairs, arrays, and primitive values.
Despite the name, JSON has become language-agnostic: every mainstream programming language ships a parser and serializer for it, which is why it dominates as the wire format for REST APIs, webhooks, and configuration files. Its syntax is deliberately small — objects in curly braces, arrays in brackets, strings, numbers, booleans, and null — so a parser can be written in a few hundred lines and a human can read a payload without a schema reference open in another tab.
That readability comes at a cost: JSON has no native way to express dates, binary data, or comments, so systems layer conventions like ISO 8601 strings or base64 encoding on top. For AI agents and tool-calling systems, JSON is the default format for both function arguments and function results because large language models are heavily trained on it and can reliably produce syntactically valid output when constrained with a schema.
In practice with Neotask
Every MCP tool call a Neotask agent makes is a JSON request in and a JSON response out — arguments are validated against a JSON Schema before the tool runs, and the result is parsed back into structured fields the agent reasons over. When a workflow step needs to hand data to the next step, it passes a JSON object rather than free text, which keeps the whole run auditable.
Related terms
- mcp-client
- llm-routing
- json-schema
- structured-output
- webhook
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