Search indexes · Audit

Search Index Audit

Audit one search, full-text, faceted, autocomplete, permissions-filtered, or indexing boundary for relevance, freshness, authorization, consistency, and failure behavior.

MCP library 1.6.1 · Instruction library 1.6.1 · English technical instructions

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Use this workflow

Connect Vibe Coding Library to a coding agent that supports MCP over Streamable HTTP. Choose Other / MCP agent for a neutral prompt, or a ready-made Codex or Claude Code invocation. Add your task details below.

Goal and scope

Audit one search, full-text, faceted, autocomplete, permissions-filtered, or indexing boundary for relevance, freshness, authorization, consistency, and failure behavior.

Domain invariants

  • Indexed documents reflect authoritative data with known freshness and deletion/update semantics.
  • Search results enforce tenant, role, ownership, plan, privacy, and visibility rules at the right layer.
  • Filters, facets, sorting, pagination, ranking, tokenization, language handling, and empty states match product expectations.
  • Reindex/backfill, partial failures, stale documents, and provider/index downtime have defined recovery behavior.
  • Tests or replay fixtures prove key recall/freshness/permission cases.

Audit method

Trace selected resource from authoritative write/delete through indexing pipeline, document schema, query builder, filters, result hydration, UI/API state, analytics, and tests.

Define representative exact-ID/title, ordinary task, alias/language and ambiguous queries with expected relevant and misleading documents before judging ranking. Inspect normalization, candidate generation, scoring, explicit filter intersection and hydration separately. Retain the failing query, source/index identity, expected ordering/window and consumer impact for Improve Search Index. Check protected snippets/facets/counts as well as visible result rows where access matters.

Workflow ID: search-index-audit · View the versioned source · Shared workflow and authority rules