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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

build_dataset

Builds a dataset in a Dataiku DSS project by specifying project key and dataset name, with optional build mode and partition.

Instructions

Build a dataset

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
dataset_nameYesName of the dataset to build
modeNoOptional build mode
partitionNoOptional partition specification
Behavior2/5

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

No annotations are available, so the description carries the full burden of behavioral disclosure. It only says 'Build a dataset', which reveals nothing about side effects, required permissions, execution time, or whether it modifies or creates something. This is insufficient for safe and correct invocation.

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

Conciseness2/5

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

The description is extremely short (three words), which could be considered concise, but it is under-specified. It fails to provide any valuable information beyond the name. True conciseness would retain essential details while eliminating fluff; here, essential details are missing entirely.

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?

Given the presence of many sibling tools, four parameters with two required, no output schema, and no annotations, the description is critically incomplete. It does not explain the return value, whether the operation is async, or any constraints. This is wholly inadequate for an agent to use the tool correctly.

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 description coverage is 100%, meaning each parameter is already described in the schema. The description adds no additional meaning beyond what is in the schema. According to guidelines, baseline is 3 when coverage is high. The description does not provide any extra context for the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description is 'Build a dataset' which is a verb-resource pair but extremely vague. It does not clarify what 'build' means in this context, nor does it differentiate from sibling tools like create_dataset, update_dataset, or clear_dataset. The purpose is unclear and could lead to confusion.

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 usage guidelines are provided. The description gives no clue about when to use this tool versus alternatives such as create_dataset or run_recipe. There is no mention of prerequisites, context, or scenarios where this tool is appropriate.

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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