Tooluniverse Drug Research

What it does

This skill enables AI agents to conduct comprehensive drug research by leveraging over 50 tools within ToolUniverse. It provides access to data and insights across chemical databases, clinical trials, adverse events, pharmacogenomics, and scientific literature. The agent follows a structured workflow, prioritizing report generation with inline source attribution and evidence grading for all findings.

When to use it

• To quickly gather detailed information about a specific drug or compound.
• When needing to understand the mechanism of action of a pharmaceutical substance.
• For research projects requiring comprehensive data on clinical trials or adverse events related to a drug.
• To investigate pharmacogenomic aspects and potential interactions of medications.
• When needing a structured report summarizing all available information about a drug, even if some data is unavailable.

Key capabilities

• Access to over 50 ToolUniverse tools for pharmaceutical research.
• Automated generation of a standardized drug report file ([DRUG]_drug_report.md) with predefined sections.
• Compound disambiguation – resolving identifiers before initiating research.
• Evidence grading (T1-T4) for all claims made in the report.
• Traceable causal chain analysis of drug mechanisms, from target engagement to physiological outcome.
• Mandatory citation and source attribution for every fact presented.

Example prompts

• "Research the drug ibuprofen."
• "What are the clinical trials associated with atorvastatin?"
• "Can you create a report on the adverse events of metformin?"
• “Investigate the mechanism of action of penicillin.”

Tips & gotchas

• The agent prioritizes English-language drug names in tool queries; other languages will be used as fallbacks.
• Do not expect to see the search process or individual tool outputs – the agent focuses on delivering a complete, structured report.
• All sections of the generated report will exist, even if data is unavailable for certain categories.