Openfda Label Tools#
Configuration File: openfda_label_tools.json
Tool Type: Local
Tools Count: 3
This page contains all tools defined in the openfda_label_tools.json configuration file.
Available Tools#
FDA_get_drug_label (Type: FDALabelTool)#
Get the complete FDA-approved prescribing information for a specific drug by name. Returns all cl…
FDA_get_drug_label tool specification
Tool Information:
Name:
FDA_get_drug_labelType:
FDALabelToolDescription: Get the complete FDA-approved prescribing information for a specific drug by name. Returns all clinical sections of the official drug label: indications, dosing regimens, contraindications, black box warnings, drug interactions, use in specific populations (pregnancy, pediatrics, renal/hepatic impairment), pharmacokinetics, mechanism of action, and adverse reactions. This is the authoritative source for FDA-approved drug clinical information in the US. Each section is returned up to max_section_chars characters (default 25000, which holds a full clinical section for essentially every label); if any section is longer it is cut and the response carries top-level ‘truncated’: true plus a ‘truncation_note’ naming the cut sections, so a shortened section is never presented as complete. Pass max_section_chars=0 for the whole label with no limit.
Parameters:
drug_name(string) (required) Brand or generic drug name (e.g., ‘warfarin’, ‘Eliquis’, ‘apixaban’, ‘atorvastatin’, ‘metformin’)max_section_chars([‘integer’, ‘null’]) (optional) Maximum characters returned per clinical section (default: 25000, 0 = no limit). Sections longer than this are cut and the response then carries top-level ‘truncated’: true plus ‘truncation_note’ naming the affected sections. Raise this value (or pass 0) to retrieve those sections in full; a complete label is roughly 50-110 KB of text.
Example Usage:
query = {
"name": "FDA_get_drug_label",
"arguments": {
"drug_name": "example_value"
}
}
result = tu.run(query)
FDA_list_drug_classes (Type: FDALabelTool)#
List FDA pharmacological drug classes (Established Pharmacologic Class, EPC) and the number of dr…
FDA_list_drug_classes tool specification
Tool Information:
Name:
FDA_list_drug_classesType:
FDALabelToolDescription: List FDA pharmacological drug classes (Established Pharmacologic Class, EPC) and the number of drug products in each class. Classes include designations like ‘Selective Serotonin Reuptake Inhibitor [EPC]’, ‘Beta-Adrenergic Blocker [EPC]’, ‘HMG-CoA Reductase Inhibitor [EPC]’ (statins), ‘ACE Inhibitor [EPC]’, etc. Use this to discover drug class names for filtering or understanding drug categorization.
Parameters:
limit(integer) (optional) Maximum number of drug classes to return (default: 20, max: 100)
Example Usage:
query = {
"name": "FDA_list_drug_classes",
"arguments": {
}
}
result = tu.run(query)
FDA_search_drug_labels (Type: FDALabelTool)#
Search FDA-approved drug labels (prescribing information) by drug name or medical indication. Dru…
FDA_search_drug_labels tool specification
Tool Information:
Name:
FDA_search_drug_labelsType:
FDALabelToolDescription: Search FDA-approved drug labels (prescribing information) by drug name or medical indication. Drug labels contain official clinical guidance: indications, dosing regimens, contraindications, black box warnings, drug interactions, and adverse reactions. Use drug_name for drug-specific lookups (e.g., ‘metformin’, ‘warfarin’) or indication for condition-based searches (e.g., ‘hypertension’, ‘type 2 diabetes’). Returns a list of matching drug labels with key clinical sections. This is a compact multi-record summary view: each clinical section is limited to max_section_chars (default 2000) so a 20-record search stays small. Whenever a section is shortened the response carries top-level ‘truncated’: true and a ‘truncation_note’ naming the affected sections; raise max_section_chars, or use FDA_get_drug_label for the full text of one drug.
Parameters:
drug_name([‘string’, ‘null’]) (optional) Brand or generic drug name to search (e.g., ‘metformin’, ‘atorvastatin’, ‘lisinopril’). Mutually exclusive with indication.indication([‘string’, ‘null’]) (optional) Medical condition to search in indications sections (e.g., ‘hypertension’, ‘type 2 diabetes’, ‘atrial fibrillation’). Mutually exclusive with drug_name.limit(integer) (optional) Maximum number of results to return (default: 5, max: 20)max_section_chars([‘integer’, ‘null’]) (optional) Maximum characters returned per clinical section (default: 2000, 0 = no limit). Sections longer than this are cut and the response then carries top-level ‘truncated’: true plus ‘truncation_note’ naming the affected sections. Raise this value to retrieve longer sections; note that a 20-result search at a high limit returns a very large response.
Example Usage:
query = {
"name": "FDA_search_drug_labels",
"arguments": {
}
}
result = tu.run(query)