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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

create_dataset

Create a new dataset in a Dataiku DSS project by specifying its name, type, and configuration parameters.

Instructions

Create a new dataset in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
dataset_nameYesName for the new dataset
dataset_typeYesType of dataset (e.g., filesystem, sql)
paramsYesDataset configuration parameters
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the action ('Create') without mentioning idempotency, side effects, required permissions, or error conditions. The description fails to address whether the operation is safe or destructive.

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 extremely concise (one sentence, 7 words). While brevity is desirable, this level of conciseness omits important context that should be present, such as parameter details or behavioral notes. It is an under-specification rather than efficient.

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?

The tool has 4 required parameters including a nested object ('params'), no output schema, and no annotations. The description does not explain what 'params' should contain, what happens after creation (e.g., return value), or how to handle errors. Given the complexity, the description is incomplete.

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 coverage is 100% with descriptions for all four parameters. The description adds no additional meaning beyond what the schema already provides. Since schema coverage is high, the baseline of 3 is appropriate, but no extra value is contributed.

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 action ('Create') and resource ('dataset') and scope ('in a project'). It is specific enough to distinguish from obvious siblings like 'delete_dataset' or 'update_dataset', but lacks differentiation from 'build_dataset' which may also create datasets via recipes.

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 on when to use this tool versus alternatives like 'build_dataset'. No mention of prerequisites (e.g., project must exist) or restrictions (e.g., naming rules). The description provides no usage context.

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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