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vault_search
Read-onlyIdempotent

Search across all vault notes using hybrid keyword and semantic matching, refined by cross-encoder reranking; narrow results with metadata filters like folder, tags, or date bounds.

Instructions

Hybrid search across all vault notes, ranked by combined keyword and semantic relevance using Reciprocal Rank Fusion (RRF) — combining FTS5 keyword matching with vector similarity. Results are refined by a cross-encoder reranker using position-aware score blending when available. Semantic matching finds notes even when exact keywords differ — "career aspirations" finds notes about "goals" and "targets". Falls back to keyword-only (FTS5 BM25) transparently while embeddings are being built. Combine a text query with structured filters to narrow results by metadata — the "narrow by metadata, search by text" pattern. Unquoted terms use implicit AND with porter stemming; wrap in double quotes for exact phrases; punctuated terms (vault-cortex, deploy/local) are matched as exact adjacent-word phrases automatically.

Filters — all conditions AND-combine with each other and the text query:

  • folder: path prefix (e.g. "Projects")

  • tags: require all listed tags (AND)

  • type: exact match on frontmatter type (e.g. "person", "session-log")

  • related: require all listed related links (AND)

  • properties: arbitrary frontmatter key-value pairs, supports string/number/boolean (e.g. { status: "active" })

  • created: date bounds { before, on, after } in YYYY-MM-DD on the frontmatter created property — before/after are exclusive, on is exact (calendar-day match, server-local). Notes without a parseable created property never match

  • modified: date bounds { before, on, after } in YYYY-MM-DD on filesystem modified time (server-local day boundaries) — before/after match strictly earlier/later days, on matches within the day

Example: vault_search({ query: "kubernetes networking", filters: { tags: ["reference"] } }) Example: vault_search({ query: "meeting notes", filters: { type: "meeting", folder: "Work" } }) Example: vault_search({ query: "decision", filters: { modified: { after: "2026-06-30" } } }) — matching notes touched in July or later Example: vault_search({ query: "how the server watches for file changes" }) — semantic: finds notes about chokidar and file watchers even without those exact terms

When to use: The primary discovery tool for content-based queries, optionally constrained by metadata. Semantic matching bridges vocabulary gaps — try natural-language queries, not just keywords. Prefer vault_search_by_tag for tag-only queries without text. Prefer vault_search_by_folder for browsing a folder. Prefer vault_search_by_property for metadata-only queries. Prefer vault_recent_notes for time-based browsing.

Errors:

  • No matches returns { results: [], total: 0 }, not an error

  • Malformed query syntax is sanitized automatically — the tool never throws a query syntax error

  • A malformed or calendar-invalid created/modified date filter throws with remediation text ("Use YYYY-MM-DD")

Returns: JSON with results array (path, title, snippet, score, tags, folder, type, created, modified, bytes), total count, search_mode ("hybrid" or "fts"), and reranked (boolean — true when cross-encoder reranking refined the ordering). search_mode indicates which ranking was used — "hybrid" when vector embeddings contributed, "fts" when only keyword matching was available. score reflects combined relevance (higher = more relevant). created is omitted when null. bytes is the on-disk file size. With filters.include_leading_callout, each result also carries leading_callout ({ type, title, body }) when present.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query text — unquoted terms use implicit AND with stemming; wrap in double quotes for exact phrases
filtersNoOptional structured filters — all conditions AND-combine with each other and with the text query
Behavior5/5

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

The description discloses hybrid ranking, cross-encoder reranking, fallback to FTS5 BM25, query syntax rules, filter behavior (AND-combined, exclusive dates), error handling (no-match returns empty results, malformed dates throw with remediation), and return structure. Annotations already confirm read-only and idempotent behavior, which the description does not contradict.

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 well-structured with clear sections (search mechanics, query syntax, filters, examples, when to use, errors, returns) but is somewhat lengthy. However, every section adds value for a complex tool, so it earns a high score with slight deduction for verbosity.

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?

The description covers all aspects: purpose, usage context, behavior, parameter details, error cases, and return format. No output schema exists, but the return structure is fully described, making it complete for an agent to use effectively.

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?

Although schema coverage is 100%, the description adds significant detail beyond the schema: query syntax (implicit AND, stemming, exact phrases), filter semantics (e.g., exclusive date bounds, tag AND logic), and three illustrative examples. This greatly aids correct parameter usage.

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 explicitly states 'Hybrid search across all vault notes, ranked by combined keyword and semantic relevance', clearly identifying the tool as a content-based discovery tool. It distinguishes from siblings by specifying when to use alternatives (e.g., vault_search_by_tag for tag-only queries).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

A dedicated 'When to use' section explains the tool is the primary discovery tool for content queries and lists specific scenarios where sibling tools are preferred (e.g., vault_search_by_folder, vault_recent_notes). This provides clear decision criteria for the agent.

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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