trial_searcher

Instructions

Search ClinicalTrials.gov for clinical studies.

⚠️ PREREQUISITE: Use the 'think' tool FIRST to plan your research strategy!

Comprehensive search tool for finding clinical trials based on multiple criteria.
Supports filtering by conditions, interventions, location, phase, and eligibility.

Location search notes:
- Use either location term OR lat/long coordinates, not both
- For city-based searches, AI agents should geocode to lat/long first
- Distance parameter only works with lat/long coordinates

Returns a formatted list of matching trials with key details.

Input Schema

Name	Required	Description
`age_group`	No	Filter by age group
`conditions`	No	Medical conditions to search for
`distance`	No	Distance in miles from lat/long coordinates
`funder_type`	No	Filter by funding source
`healthy_volunteers`	No	Filter by healthy volunteer eligibility
`interventions`	No	Treatment interventions to search for
`lat`	No	Latitude for location-based search. AI agents should geocode city names before using.
`location`	No	Location term for geographic filtering
`long`	No	Longitude for location-based search. AI agents should geocode city names before using.
`other_terms`	No	Additional search terms
`page`	No	Page number (1-based)
`page_size`	No	Results per page
`phase`	No	Filter by clinical trial phase
`recruiting_status`	No	Filter by recruiting status
`sex`	No	Filter by biological sex
`study_type`	No	Filter by study type

Input Schema (JSON Schema)

{
  "properties": {
    "age_group": {
      "anyOf": [
        {
          "enum": [
            "CHILD",
            "ADULT",
            "OLDER_ADULT"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by age group",
      "title": "Age Group"
    },
    "conditions": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Medical conditions to search for",
      "title": "Conditions"
    },
    "distance": {
      "anyOf": [
        {
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Distance in miles from lat/long coordinates",
      "title": "Distance"
    },
    "funder_type": {
      "anyOf": [
        {
          "enum": [
            "NIH",
            "OTHER_GOV",
            "INDUSTRY",
            "OTHER"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by funding source",
      "title": "Funder Type"
    },
    "healthy_volunteers": {
      "anyOf": [
        {
          "enum": [
            "YES",
            "NO"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by healthy volunteer eligibility",
      "title": "Healthy Volunteers"
    },
    "interventions": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Treatment interventions to search for",
      "title": "Interventions"
    },
    "lat": {
      "anyOf": [
        {
          "maximum": 90,
          "minimum": -90,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Latitude for location-based search. AI agents should geocode city names before using.",
      "title": "Lat"
    },
    "location": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Location term for geographic filtering",
      "title": "Location"
    },
    "long": {
      "anyOf": [
        {
          "maximum": 180,
          "minimum": -180,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Longitude for location-based search. AI agents should geocode city names before using.",
      "title": "Long"
    },
    "other_terms": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Additional search terms",
      "title": "Other Terms"
    },
    "page": {
      "default": 1,
      "description": "Page number (1-based)",
      "minimum": 1,
      "title": "Page",
      "type": "integer"
    },
    "page_size": {
      "default": 10,
      "description": "Results per page",
      "maximum": 100,
      "minimum": 1,
      "title": "Page Size",
      "type": "integer"
    },
    "phase": {
      "anyOf": [
        {
          "enum": [
            "EARLY_PHASE1",
            "PHASE1",
            "PHASE2",
            "PHASE3",
            "PHASE4",
            "NOT_APPLICABLE"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by clinical trial phase",
      "title": "Phase"
    },
    "recruiting_status": {
      "anyOf": [
        {
          "enum": [
            "OPEN",
            "CLOSED",
            "ANY"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by recruiting status",
      "title": "Recruiting Status"
    },
    "sex": {
      "anyOf": [
        {
          "enum": [
            "FEMALE",
            "MALE",
            "ALL"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by biological sex",
      "title": "Sex"
    },
    "study_type": {
      "anyOf": [
        {
          "enum": [
            "INTERVENTIONAL",
            "OBSERVATIONAL",
            "EXPANDED_ACCESS"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by study type",
      "title": "Study Type"
    }
  },
  "title": "trial_searcherArguments",
  "type": "object"
}

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Input Schema

Input Schema (JSON Schema)

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