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name: toon-formatter description: Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, and expanded formats with comma/tab/pipe delimiters. Triggers on large JSON, data optimization, token reduction, structured data, arrays, tables, logs, metrics, TOON. allowed-tools: Read, Write, Edit, Bash model: sonnet license: MIT metadata: author: raintree version: "2.0" repository: https://github.com/toon-format/spec

TOON v2.0 Format Expert

TOON (Token-Oriented Object Notation) saves 30-60% tokens on structured data by eliminating repetitive keys in uniform arrays.

When to Use

Automatically apply TOON when:

• Arrays with 5+ similar objects
• API responses with repeated structure
• Database query results
• Log entries, events, transactions
• Metrics, analytics, benchmarks
• Any tabular data

Keep as JSON when:

• Small arrays (<5 items)
• Deeply nested non-uniform data
• Single objects
• Narrative text or instructions

Format Specification

Tabular Format (Most Common)

For arrays of uniform objects:

[count]{field1,field2,field3}:
  value1,value2,value3
  value1,value2,value3

Example - JSON (120 tokens):

[
  {"id": 1, "name": "Alice", "role": "admin", "active": true},
  {"id": 2, "name": "Bob", "role": "user", "active": true},
  {"id": 3, "name": "Carol", "role": "user", "active": false}
]

TOON (70 tokens, 42% savings):

[3]{id,name,role,active}:
  1,Alice,admin,true
  2,Bob,user,true
  3,Carol,user,false

Inline Format

For primitive arrays (10 or fewer items):

fieldName[count]: value1,value2,value3

Example:

tags[4]: javascript,react,nodejs,api
ids[3]: 101,102,103

Expanded Format

For complex nested values (one per line):

items[3]|:
  | {"complex": "object1"}
  | {"complex": "object2"}
  | {"complex": "object3"}

Delimiters

Choose based on data content:

Delimiter	Syntax	Use When
Comma	[N]	Default, no commas in values
Tab	[N\t]	Values contain commas
Pipe	[N|]	Values contain commas and tabs

Tab-delimited example:

[2\t]{name,description}:
  Product A	A great product, really
  Product B	Another one, even better

Key Folding (Nested Objects)

Flatten nested structures:

server.host: localhost
server.port: 8080
server.ssl.enabled: true
database.url: postgres://localhost/db

Special Values

Value	TOON Representation
null	~
empty string	""
true	true
false	false

Conversion Patterns

API Response

Before (JSON):

{
  "users": [
    {"id": 1, "email": "a@x.com", "plan": "pro"},
    {"id": 2, "email": "b@x.com", "plan": "free"},
    {"id": 3, "email": "c@x.com", "plan": "pro"}
  ],
  "total": 3
}

After (TOON):

users[3]{id,email,plan}:
  1,a@x.com,pro
  2,b@x.com,free
  3,c@x.com,pro
total: 3

Log Entries

Before (JSON):

[
  {"ts": "2024-01-15T10:00:00Z", "level": "INFO", "msg": "Server started"},
  {"ts": "2024-01-15T10:00:01Z", "level": "DEBUG", "msg": "Connection pool ready"},
  {"ts": "2024-01-15T10:00:02Z", "level": "INFO", "msg": "Listening on :8080"}
]

After (TOON):

[3]{ts,level,msg}:
  2024-01-15T10:00:00Z,INFO,Server started
  2024-01-15T10:00:01Z,DEBUG,Connection pool ready
  2024-01-15T10:00:02Z,INFO,Listening on :8080

Database Results

Before (JSON):

[
  {"product_id": 101, "name": "Widget", "price": 29.99, "stock": 150},
  {"product_id": 102, "name": "Gadget", "price": 49.99, "stock": 75},
  {"product_id": 103, "name": "Gizmo", "price": 19.99, "stock": 200}
]

After (TOON):

[3]{product_id,name,price,stock}:
  101,Widget,29.99,150
  102,Gadget,49.99,75
  103,Gizmo,19.99,200

Mixed Content

Combine formats as needed:

config.name: MyApp
config.version: 1.0.0
config.features[3]: auth,logging,metrics

endpoints[4]{method,path,auth}:
  GET,/api/users,required
  POST,/api/users,required
  GET,/api/health,none
  DELETE,/api/users/:id,admin

tags[5]: api,rest,json,http,web

Decision Flowchart

Is it an array?
├─ No → Use standard JSON/key-value
└─ Yes → How many items?
    ├─ <5 → Keep as JSON (overhead not worth it)
    └─ ≥5 → Are objects uniform (≥60% same keys)?
        ├─ No → Use expanded format
        └─ Yes → Are values primitives?
            ├─ Yes, ≤10 items → Inline format
            └─ Otherwise → Tabular format

Token Savings Reference

Data Type	Typical Savings
User lists	40-50%
Log entries	35-45%
API responses	30-50%
Database rows	45-55%
Event streams	40-60%
Config arrays	25-35%

Binary Encoder

A compiled Zig encoder (20x faster than JS) is available:

# Encode JSON to TOON
.claude/utils/toon/bin/toon encode data.json

# Decode TOON to JSON  
.claude/utils/toon/bin/toon decode data.toon

# Check if TOON recommended
.claude/utils/toon/bin/toon check data.json

# Analyze token savings
.claude/utils/toon/bin/toon analyze data.json

Commands

Command	Description
/toon-encode <file>	Convert JSON to TOON
/toon-decode <file>	Convert TOON to JSON
/toon-validate <file>	Validate TOON syntax
/analyze-tokens <file>	Compare JSON vs TOON size
/convert-to-toon <file>	Full conversion workflow

Best Practices

DO:

• Use TOON for data payloads in RAG pipelines
• Apply to tool call responses with arrays
• Convert benchmark results and metrics
• Use tab delimiter when values have commas

DON'T:

• Convert small arrays (<5 items)
• Force non-uniform data into tabular format
• Use for deeply nested structures
• Apply to human-readable documentation

Resources

• Specification: https://github.com/toon-format/spec
• Website: https://toonformat.dev
• Local Guide: .claude/utils/toon/toon-guide.md