LLM tool layer

TOC tool layer for LLM and RAG systems

Before sending documents to a large model, normalize TOC structure, verify hierarchy, and fix rule-level issues so downstream reasoning receives clean structure.

Connect member API

LLMs understand content, but TOC rules need stability

TOC structure follows explicit human language rules: continuous numbering, consistent hierarchy, matching indentation, and no invented headings. SUPTOC separates those rules into a verifiable tool layer.

{
  "tool": "SUPTOC.validate_and_correct",
  "elapsed_ms": 11,
  "input_bound": true,
  "style": "numeric numbered TOC",
  "issues": ["missing chapter 2"],
  "corrected": "Chapter 2 API Access"
}

Core value for LLM workflows

Tool calling

Let the LLM call a deterministic TOC tool instead of guessing structure.

Pre-validation

Validate hierarchy before long documents enter RAG.

Post-correction

Fix numbering and hierarchy issues in model-generated TOCs.

Stable context

Provide reliable heading paths for chunks, summaries, and retrieval.

Low latency

Millisecond processing suits synchronous tool calls.

Explainable

Return rules, issue types, and correction reasons.