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RxNorm Concept Details

rxnorm_concept
Read-onlyIdempotent

Retrieve detailed RxNorm drug concept details by RxCUI, including names, synonyms, status, and related ingredients, brands, and forms.

Instructions

Get detailed information about a specific RxNorm concept by RxCUI.

Use this tool to:

  • Get the full name and synonyms for a drug

  • Check the concept status (active, remapped, etc.)

  • View related concepts (ingredients, brands, forms)

Provide an RxCUI (RxNorm Concept Unique Identifier) like "161".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rxcuiYesRxNorm Concept Unique Identifier
include_relatedNoInclude related concepts (ingredients, brands, dose forms)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ttyYes
nameYes
rxcuiYes
statusYes
synonymYes
umlscuiYes
languageYes
suppressYes
provenanceYesProvenance block (contract v1.0): source, URL, data vintage, extraction instant, citation, license
attributionYesCanonical source URLs of this response (attribution list)
remapped_toYes
related_groupsYes
Behavior3/5

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

Annotations already convey the read-only, idempotent, and non-destructive nature. The description adds useful behavioral context about the data returned (concept status, related concepts), but it does not clarify that related concepts are only returned when include_related=true, which is a minor transparency gap.

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

Conciseness4/5

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

The description is well-structured with a concise opening, bullet points for use cases, and a clear instruction. It avoids fluff, though it is slightly longer than necessary, which keeps it from a perfect score.

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 the presence of an output schema and annotations, the description sufficiently covers purpose, usage, and parameter details. The only notable gap is the lack of explicit mention that include_related controls the 'View related concepts' bullet, but overall it is adequately complete.

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?

The input schema provides complete descriptions for both parameters (100% coverage). The description adds only a concrete example RXCUI ('161') but no additional semantic meaning beyond the schema, so the baseline score of 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 the tool's function: 'Get detailed information about a specific RxNorm concept by RxCUI.' It uses a specific verb and resource, and the listed use cases (full name, synonyms, status, related concepts) distinguish it from sibling search tools like rxnorm_search or rxnorm_ingredients.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: 'Use this tool to...' with specific scenarios, and gives an example RXCUI. However, it does not explicitly mention alternatives or when not to use it, so it lacks exclusionary guidance.

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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