startsession
Initialize and structure your quantitative research session by reviewing active projects, datasets, research questions, statistical models, and high-priority tasks for focused analysis.
Instructions
A comprehensive tool for initializing a new quantitative research session, providing structured information about ongoing research projects, datasets, statistical models, and recent research activities.
When to use this tool:
Beginning a new quantitative analysis session
Getting oriented to your current research state across multiple projects
Planning which research elements to focus on in the current session
Reviewing recent research activities and progress
Identifying active research projects and their status
Exploring available datasets for analysis
Reviewing current research questions
Examining statistical models and their performance
Viewing recent visualizations of your data
Establishing research context before diving into specific analysis tasks
Re-engaging with your research after time away
Prioritizing high-priority research tasks
Tracking the status of various research activities
Understanding sequential research processes
Key features:
Generates a unique session identifier for tracking research activities
Retrieves and displays recent research sessions with summaries
Lists active research projects with status information
Provides a sample of available datasets with key information
Presents current research questions guiding your studies
Highlights recent statistical models with performance metrics
Displays recent visualizations with brief descriptions
Formats information in an easily scannable format for quick orientation
Integrates with the loadcontext tool for deeper exploration
Maintains continuity between research sessions
Tracks research session history for progress review
Displays high-priority research tasks needing attention
Shows status information for key research activities
Presents sequential relationships between research processes
Parameters explained: No parameters required - the tool automatically retrieves all relevant context.
Return information:
Recent research sessions (up to 3) with:
Date
Project name
Brief summary
Active research projects with:
Project name
Current status (via has_status relation)
Priority (if assigned via has_priority relation)
Available datasets (up to 5) with:
Dataset name
Type of data
Associated project
Status (active, completed, pending, abandoned)
Research questions (up to 5) with:
Question text
Associated project
Status (via has_status relation)
Recent statistical models with:
Model name
Model type
Performance metrics
Status (via has_status relation)
Recent visualizations with:
Visualization name
Type (chart, plot, etc.)
Associated dataset
High-priority research tasks (up to 5) with:
Task name
Current status (active, completed, pending, abandoned)
Associated project
Upcoming research activities (up to 3) with:
Activity name
Prerequisite activities (via precedes relation)
Current status (via has_status relation)
Status and Priority Information:
Research activities are displayed with their current status values
High-priority tasks are prominently highlighted for attention
Valid status values include: active, completed, pending, abandoned
Priority values (high, low) help indicate which tasks need immediate attention
Status is retrieved through has_status relations
Priority is retrieved through has_priority relations
Sequential Process Information:
Upcoming activities show prerequisite tasks that must be completed first
Research phases are presented in their logical sequence
The precedes relation is used to determine activity ordering
Sequential relationships help visualize the research workflow
Session Workflow:
Start a research session with startsession
Review the provided context to decide what to focus on
Use loadcontext to retrieve detailed information about specific research elements
Conduct your analysis, adding new elements with buildcontext as needed
End the session with endsession to record your research progress
You should:
Begin each focused research period with startsession to establish context
Review recent sessions to maintain continuity in your research
Identify active projects that require attention
Note available datasets for potential analysis
Consider current research questions that need investigation
Review existing statistical models before creating new ones
Examine recent visualizations to understand data representation
Prioritize high-priority tasks for immediate attention
Check the status of research activities to maintain progress awareness
Consider sequential relationships when planning your research activities
Use the session ID when using other tools to maintain session tracking
After completing a session, record your progress using endsession
Establish a regular cadence of research sessions to maintain momentum
Use the structured overview to make deliberate choices about where to focus your analytical effort
Input Schema
Name | Required | Description | Default |
---|---|---|---|
No arguments |