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index_local

Index local documentation files by parsing heading hierarchy into sections for efficient retrieval. Enables AI agents to navigate docs by section instead of reading entire files.

Instructions

Index a local folder containing documentation files (.md, .txt, .rst; plus .pdf/.docx/.pptx/.epub when the optional [office] extra is installed — converted to Markdown locally). Parses by heading hierarchy into sections for efficient retrieval. An already-indexed source is recognized before storage is chosen: the established handle is reused (or refreshed), an explicit conflicting name returns a conflict instead of creating a duplicate index, and multiple equivalent legacy indexes return bounded ambiguity. Embeddings auto-enable when a provider is configured (GOOGLE_API_KEY, OPENAI_API_KEY, openai-compatible + JDOCMUNCH_OPENAI_COMPAT_URL + JDOCMUNCH_OPENAI_COMPAT_MODEL, or sentence-transformers).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional repo identifier override. Use this when two folders share the same name (e.g. both named 'docs'). If omitted, the folder name is used. Example: 'requests-docs', 'flask-docs'.
pathYesPath to local folder (absolute or relative, supports ~ for home directory)
pathsNoOptional list of explicit paths to index. When provided, the directory walk is skipped; only these files (and the contents of any directories in the list) are indexed. Entries may be absolute or relative to `path`. Useful for batch-indexing exactly the files an agent already knows about — e.g. the doc files git just touched.
sort_byNoOrder in which files are truncated when discovered > max_files. 'newest' (default) keeps the most recently-edited files so a fresh edit is always in the index. 'walk_order' preserves filesystem-walk order for deterministic reproducible builds. No effect when corpus fits under the cap.newest
autotuneNov1.29+ — when true, runs tune_weights against accumulated ranking events at the end of indexing. No-op when telemetry isn't enabled.
max_filesNoMaximum number of doc files to index. Default 10000. When the cap is hit, the response includes `truncated: true`, `discovered: <total found>`, and `indexed: <max_files>` so the caller can detect data loss programmatically. Raise this for very large corpora.
incrementalNoWhen true (default), only re-index files that changed since the last index. Set to false to force a full re-index.
worktree_modeNoLinked-worktree behavior (jdoc#83). 'reuse_equivalent' (default) reuses a proven-fresh established index from another linked worktree instead of creating a duplicate; uncertain outcomes return a bounded decision with no write. 'branch_local' intentionally creates/refreshes an exact-path index for this worktree.reuse_equivalent
use_embeddingsNoGenerate semantic embeddings for each section, enabling hybrid (BM25+semantic) search. true/false/"auto". "auto" (default) enables embeddings when an embedding provider is configured (GOOGLE_API_KEY, OPENAI_API_KEY, openai-compatible + JDOCMUNCH_OPENAI_COMPAT_URL + JDOCMUNCH_OPENAI_COMPAT_MODEL, or sentence-transformers installed).auto
follow_symlinksNoWhether to follow symlinks. Default false for security.
legacy_reconcileNoPart C.2 legacy reconciliation (jdoc#87). Requires an explicit name= selecting a pre-1.102 fieldless legacy index and a full refresh. 'report' proves whether it is an exact duplicate of its single modern peer (same verified identity, same clean certified commit, full path-and-hash coverage) without changing anything; 'apply' repeats the proof and retires the selected legacy handle — the only possible loser; the peer is never touched. Omitted: ordinary refresh, backfill-only, never retires.
use_ai_summariesNoUse AI to generate section summaries (requires ANTHROPIC_API_KEY or GOOGLE_API_KEY). When false, uses heading text.
extra_ignore_patternsNoAdditional gitignore-style patterns to exclude from indexing
Behavior5/5

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

With only readOnlyHint=false in annotations, the description provides extensive behavioral detail: file parsing by headings, idempotency via handle reuse, conflict handling, embedding auto-enablement conditions, truncation behavior with max_files, and legacy reconciliation. This fully compensates for the lack of detailed annotations.

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

Conciseness4/5

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

The description is front-loaded with the core purpose and supported formats. It includes many details but is well-organized with clear explanations. A slight reduction in detail on legacy reconciliation could improve conciseness, but the structure is effective.

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

Completeness5/5

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

Given the complexity (13 parameters, no output schema, 100% schema coverage), the description covers all relevant behavioral aspects: embedding setup, truncation details, conflict resolution, and legacy handling. Response fields like truncated, discovered, indexed are mentioned, providing adequate completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 100% schema coverage (baseline 3), the description adds substantial meaning: explaining how 'paths' skips directory walk, how 'sort_by' affects truncation order, how 'incremental' re-indexes only changed files, and the conditional behavior of 'use_embeddings'. This goes well beyond schema descriptions.

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?

The description clearly states the tool indexes a local folder containing documentation files (.md, .txt, .rst, etc.), distinguishing it from sibling tools focused on search or retrieval. The verb 'index' and resource 'local folder' are specific and unambiguous.

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 description explains indexing behavior and reuse logic but does not explicitly guide when to use this tool versus alternatives like doc_index_repo or search_titles. Implicit context from siblings suggests it is for initial setup, but explicit when-to-use or when-not-to-use guidance is missing.

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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