TOOL API

think

REQUIRED FIRST STEP: Perform structured sequential thinking for ANY biomedical research task. 🚨 IMPORTANT: You MUST use this tool BEFORE any search or fetch operations when: - Researching ANY biomedical topic (genes, diseases, variants, trials) - Planning to use multiple BioMCP tools - Answering questions that require analysis or synthesis - Comparing information from different sources - Making recommendations or drawing conclusions ⚠️ FAILURE TO USE THIS TOOL FIRST will result in: - Incomplete or poorly structured analysis - Missing important connections between data - Suboptimal search strategies - Overlooked critical information Sequential thinking ensures you: 1. Fully understand the research question 2. Plan an optimal search strategy 3. Identify all relevant data sources 4. Structure your analysis properly 5. Deliver comprehensive, well-reasoned results ## Usage Pattern: 1. Start with thoughtNumber=1 to initiate analysis 2. Progress through numbered thoughts sequentially 3. Adjust totalThoughts estimate as understanding develops 4. Set nextThoughtNeeded=False only when analysis is complete ## Example: ```python # Initial analysis await think( thought="Breaking down the relationship between BRAF mutations and melanoma treatment resistance...", thoughtNumber=1, totalThoughts=5, nextThoughtNeeded=True ) # Continue analysis await think( thought="Examining specific BRAF V600E mutation mechanisms...", thoughtNumber=2, totalThoughts=5, nextThoughtNeeded=True ) # Final thought await think( thought="Synthesizing findings and proposing research directions...", thoughtNumber=5, totalThoughts=5, nextThoughtNeeded=False ) ``` ## Important Notes: - Each thought builds on previous ones within a session - State is maintained throughout the MCP session - Use thoughtful, detailed analysis in each step - Revisions and branching are supported through the underlying implementation