tomevault-io Enterprise Search via Glean
When users ask about internal company information that lives in enterprise systems (not the local codebase), use Glean tools to find it.
Tool Naming
See the glean-tools-guide skill for Glean MCP tool naming conventions. Tools follow the pattern mcp__glean_[server-name]__[tool] where the server name is dynamic. Use whatever Glean server is available in your tool list.
When This Applies
Use Glean search when users ask about:
- Company policies, guidelines, or procedures
- Design documents, RFCs, or specifications
- Internal wikis or knowledge base articles
- Project documentation or roadmaps
- Slack discussions or announcements
- Any "where is the doc about X" questions
BE SKEPTICAL
Not every search result is relevant or current. Before presenting results, evaluate:
Relevance Test
- Does this actually answer the question, or just contain keywords?
- ✅ INCLUDE: Directly addresses the query
- ❌ EXCLUDE: Keyword coincidence, different context
Freshness Test
- Is this information current?
- ✅ CURRENT: Updated in past 6 months
- ⚠️ AGING: 6-12 months - note the age
- ❌ STALE: 12+ months - include only with strong warning, or exclude
Authority Test
- How reliable is this source?
- 📗 OFFICIAL: Approved policies, signed-off specs
- 📙 SEMI-OFFICIAL: Team wikis, shared docs
- 📕 INFORMAL: Slack discussions, personal notes
Filter Out:
- Superseded or deprecated documents
- Draft documents presented as final
- Keyword matches in unrelated contexts
See confidence-signals skill for how to communicate reliability.
Tool Selection
| User Intent | Glean Tool |
|---|---|
| Find documents, policies, specs | search |
| Complex analysis across sources | chat |
| Read full document content | read_document |
Query Optimization
Glean understands natural language. Enhance queries with filters when helpful:
# Recent documents
"API documentation updated:past_week"
# By author
"design doc owner:\"Sarah Chen\""
# Date range
"quarterly planning after:2024-01-01"
# Specific app
"authentication RFC app:confluence"
Workflow
- Search first: Use
searchto find relevant documents - Vet results: Apply vetting criteria before presenting
- Read for details: Use
read_documentwith URLs from vetted results - Synthesize if complex: Use
chatfor multi-source analysis
Always Include Quality Signals
When presenting information from Glean, always include:
- Document title and URL
- Last updated date (with freshness indicator: ✅/<6mo, ⚠️ 6-12mo, ❌ >12mo)
- Author (if relevant)
- Confidence level (see
confidence-signalsskill)
This allows users to assess reliability and explore further.
If Nothing Relevant Found
Don't pad with weak results:
No relevant results found for [query].
**What was searched:**
- [Search terms used]
**Suggestions:**
- Try alternative terms: [suggestions]
- Ask in [relevant channel]
- This may not be documented
Relationship to Commands
For comprehensive, structured workflows, suggest the relevant slash command:
/glean-search:search <query>- Quick search with formatted results/glean-docs:verify-rfc- Compare spec to implementation/glean-meetings:catch-up- Systematic catch-up after time away
Converted and distributed by TomeVault — claim your Tome and manage your conversions.