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explore_concept

Retrieve detailed information, hierarchical ancestors/descendants, and cross-vocabulary mappings for a medical concept in a single call.

Instructions

Get a comprehensive view of a medical concept in one call: detailed info, ancestors/descendants hierarchy, and cross-vocabulary mappings. Use this instead of calling get_concept + get_hierarchy + map_concept separately. Ideal for understanding what a concept is, where it sits in the classification tree, and how it maps to other coding systems.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
concept_idYesThe OMOP concept_id to explore
include_hierarchyNoInclude ancestors and descendants. Default true.
hierarchy_levelsNoHow many hierarchy levels to fetch (1-5, default 2)
include_mappingsNoInclude cross-vocabulary mappings. Default true.
target_vocabulariesNoComma-separated vocabulary IDs to filter mappings. Examples: 'ICD10CM', 'SNOMED'.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so description carries burden. It explains the composite nature but doesn't mention if it's read-only, any limitations, or performance implications. Adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler. First sentence defines purpose, second provides usage guidance. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 5 parameters with good schema descriptions and no output schema, the description sufficiently describes the combined output (hierarchy and mappings). Lacks mention of response structure but overall adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the description adds minimal value beyond listing combined purpose. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it combines three functionalities (detailed info, hierarchy, mappings) into one call, distinguishing it from siblings like get_concept, get_hierarchy, and map_concept.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells the agent to use this instead of calling three separate tools and describes ideal use case (understanding a concept's identity, hierarchy position, and cross-system mappings).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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