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get_latest_bc_dataset_specializations

Retrieve dataset specializations for a specified biomedical concept from the CDISC Library, offering the current specialiation list for concepts like C105585.

Instructions

Get latest Biomedical Concept Dataset Specializations List from CDISC Library

Args: biomedicalconcept (str): The biomedical concept to retrieve dataset specializations for.

Usage: get_latest_bc_dataset_specializations("C105585")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
headers_No
biomedicalconceptYes
Install Server

TDQS

B3.4/5.0
Behavior3/5

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

There are no annotations, so the description carries full behavioral burden. It conveys that the operation is a read-like retrieval of the latest list, but it does not describe output format, pagination, error behavior, or external dependency caveats. This is adequate for a simple getter but not richly transparent.

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 compact and well-structured: a one-line purpose, an Args section, and a concrete usage example. Every part contributes useful information, and the example with 'C105585' helps disambiguate expected input format.

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

Completeness3/5

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

For a tool with two parameters and no output schema, the description provides the essential required argument and an invocation example. However, it omits details about the return value, the optional headers_ parameter, and how this tool relates to its many siblings, leaving some ambiguity for an agent.

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 0%, so the description must compensate. It provides a useful semantic for the required parameter biomedicalconcept: 'The biomedical concept to retrieve dataset specializations for.' However, the optional headers_ parameter is entirely unexplained, leaving one parameter without any semantic guidance.

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

Purpose4/5

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

The description states a specific action and resource: 'Get latest Biomedical Concept Dataset Specializations List from CDISC Library.' This clearly identifies what the tool returns and distinguishes it from SDTM-focused or BC-list siblings, though it does not explicitly name an alternative.

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

Usage Guidelines3/5

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

The usage example demonstrates a concrete invocation, and the purpose implies when the tool is needed. However, it provides no guidance about when not to use it or which sibling tool to choose instead, which is relevant given the large set of similar CDISC Library tools.

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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