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get_sdtm_dataset_specialization_package_list

Retrieves SDTM dataset specialization package lists from the CDISC Library to identify available packages for clinical research metadata.

Instructions

Get SDTM Dataset Specialization Package List from CDISC Library

Usage: get_sdtm_dataset_specialization_package_list()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
headers_No
Install Server

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden for behavioral disclosure. It only says the call retrieves a list from CDISC Library; it does not describe return format, optional header behavior, failure modes, pagination, rate limits, or the read-only nature beyond the verb 'Get'.

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

Conciseness3/5

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

The description is very short and the first sentence is useful, but the usage line is largely a redundant restatement of the tool name. It is compact yet under-specified, so the brevity is not fully earned.

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

Completeness2/5

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

With no annotations, no output schema, and an undocumented optional parameter, the description is too minimal for reliable agent use. It leaves unclear what the returned package list contains, how 'headers_' is used, and how this tool differs from siblings like get_sdtm_dataset_specialization_list_for_package.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not mention the 'headers_' parameter at all. The usage line even suggests a zero-argument call, leaving the agent unable to infer what 'headers_' is for or whether it affects the request.

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 clear verb ('Get') and a specific resource ('SDTM Dataset Specialization Package List') from 'CDISC Library'. This is not a tautology and gives the agent the basic domain context, though it does not explicitly differentiate from similarly named sibling tools.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus the many sibling tools. The 'Usage:' line only repeats the call syntax, which is not selection criteria; no alternatives, exclusions, or contextual triggers are provided.

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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