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export_cdisc_sdtm

Convert unstructured JSON records into CDISC SDTM and Allotrope compliant data models for regulatory submissions.

Instructions

Converts unstructured JSON payload records into CDISC SDTM / Allotrope compliant models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
study_idYes
test_codeYes
subject_idYes
result_unitYes
numeric_resultYes
Behavior2/5

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

With no annotations available, the description carries the full burden of behavioral disclosure. It only states the conversion action without disclosing side effects, error handling, input validation, whether the operation is read-only or mutating, or any output format details. This insufficient disclosure merits a 2.

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 a single sentence with no redundant words, making it highly concise and front-loaded. However, the brevity results in under-specification, so it earns a 4 for conciseness but not a 5.

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

Completeness1/5

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

The tool converts data between formats, a process that likely involves validation, transformation rules, and error conditions. Without an output schema or annotations, the description fails to explain the output structure, failure modes, or prerequisites, making it contextually incomplete for a tool with this complexity.

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?

The schema lists five required parameters with no descriptions. The tool description provides no additional semantics for these parameters, leaving the agent to infer their meaning from names alone. With schema description coverage at 0%, the description completely fails to compensate, making this a 1.

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 clearly states the tool's function: converting unstructured JSON payload records into CDISC SDTM/Allotrope compliant models. This provides a specific verb and resource, and it's distinct from sibling tools which are analytical calculations. However, it doesn't explicitly differentiate from siblings or mention related tools, so it falls short of a 5.

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?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites, exclusions, or context. The description lacks any instruction on when this conversion should be performed, leaving the agent without usage direction.

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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