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rohittrimale

Mainframe MCP Server

by rohittrimale

create_dataset_like

Allocate a new dataset that inherits the properties of a source dataset. Optionally override attributes like block size or record format.

Instructions

Allocate a new dataset with the same attributes as an existing one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
primaryNo
secondaryNo
block_sizeNo
new_datasetYes
record_formatNo
record_lengthNo
source_datasetYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already indicate write operation and non-destructive nature. The description adds that it copies attributes, but no details on permissions, error behavior, or side effects beyond creation.

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

Conciseness5/5

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

A single, front-loaded sentence that efficiently conveys the core function. No extraneous words.

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?

Despite having annotations and output schema, the description is too minimal for a creation tool with many optional parameters. It lacks guidance on parameter usage and expected behavior.

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?

With 0% schema description coverage and 7 parameters, the description does not explain any parameter meanings. It only mentions copying attributes, leaving all parameter details to the agent's inference.

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 allocates a new dataset by copying attributes from an existing one, using specific verbs and resources. It effectively distinguishes from sibling tools like create_dataset.

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 explicit guidance on when to use this tool versus alternatives (e.g., copy_member, rename_dataset). The description implies usage for copying structure, but lacks context on prerequisites or exclusions.

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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