Aging Cohort Tools

Configuration File: aging_cohort_tools.json Tool Type: Local Tools Count: 1

This page contains all tools defined in the aging_cohort_tools.json configuration file.

Available Tools

AgingCohort_search (Type: AgingCohortSearchTool)

Search a curated registry of ~30 major longitudinal cohort studies relevant to aging research wor…

AgingCohort_search tool specification

Tool Information:

  • Name: AgingCohort_search

  • Type: AgingCohortSearchTool

  • Description: Search a curated registry of ~30 major longitudinal cohort studies relevant to aging research worldwide. Contains study metadata including design, sample size, age range, variable categories, and data access information. Use to find the right cohort for a specific research question, such as which studies measure iron intake, grip strength, or walking speed in older adults. Filters by country, study design (longitudinal/cross-sectional), minimum sample size, and specific variable availability.

Parameters:

  • query (string) (required) Keyword search across study names, descriptions, variable categories, and topics. Examples: ‘iron intake longitudinal’, ‘grip strength aging Europe’, ‘biomarkers elderly China’.

  • country ([‘string’, ‘null’]) (optional) Filter by country or region. Examples: ‘USA’, ‘UK’, ‘China’, ‘Europe’, ‘Netherlands’. Case-insensitive substring match.

  • design ([‘string’, ‘null’]) (optional) Filter by study design. One of: ‘longitudinal’, ‘cross-sectional’, ‘both’.

  • min_sample_size ([‘integer’, ‘null’]) (optional) Minimum sample size threshold. Only returns cohorts with sample_size >= this value.

  • has_variable ([‘string’, ‘null’]) (optional) Filter for cohorts that include a specific variable category. Substring match against variable categories. Examples: ‘iron’, ‘grip_strength’, ‘walking_speed’, ‘nutrition’, ‘cognitive’, ‘biomarkers’, ‘genetics’.

Example Usage:

query = {
    "name": "AgingCohort_search",
    "arguments": {
        "query": "example_value"
    }
}
result = tu.run(query)