sdtm.list
List the latest SDTM dataset specializations, with an optional domain filter to narrow results.
Instructions
List latest SDTM dataset specializations (optional domain).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | No |
List the latest SDTM dataset specializations, with an optional domain filter to narrow results.
List latest SDTM dataset specializations (optional domain).
| Name | Required | Description | Default |
|---|---|---|---|
| domain | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states 'list latest', implying a read operation, but does not specify whether it requires authentication, how pagination works, what happens with invalid domains, or if it is destructive. Minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loading the key action. It is concise, but this brevity sacrifices necessary detail. Every sentence should earn its place; here, the sentence is too short to provide adequate guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (one optional parameter) and absence of annotations and output schema, the description should still clarify the output format or behavior. It lacks details on what 'specializations' are, what 'latest' means, and the return type, making it incomplete for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 mentions 'optional domain' but does not explain what a domain is, its expected format, or any constraints. For a single parameter, this is insufficient to guide correct parameter construction.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'List latest SDTM dataset specializations' with a verb and resource. It mentions an optional domain filter, which distinguishes it from siblings like sdtm.get (presumably for a single specialization) and sdtm.domains (lists domains). However, 'latest' is ambiguous without context about versioning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like sdtm.get or sdtm.domains. The description does not include any when-to-use or when-not-to-use information, leaving the agent to infer from tool names alone.
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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