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literature-deep-research

ToolUniverse workflow — Literature Deep Research

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---
name: tooluniverse-literature-deep-research
description: Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.
---

# Literature Deep Research Strategy (Enhanced)

A systematic approach to comprehensive literature research that **starts with target disambiguation** to prevent missing details, uses **evidence grading** to separate signal from noise, and produces a **content-focused report** with mandatory completeness sections.

**KEY PRINCIPLES**:
1. **Target disambiguation FIRST** - Resolve IDs, synonyms, naming collisions before literature search
2. **Right-size the deliverable** - Use *Factoid / Verification Mode* for single, answerable questions; use full report mode for “deep research”
3. **Report-first output** - Default deliverable is a report file; an inline answer is allowed (and recommended) for Factoid / Verification Mode
4. **Evidence grading** - Grade every claim by evidence strength (mechanistic paper vs screen hit vs review vs text-mined)