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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

get_dataset_info

Retrieve detailed information about a dataset in a Dataiku DSS project by providing the project key and dataset name.

Instructions

Get detailed information about a dataset

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
dataset_nameYesName of the dataset
Behavior2/5

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

No annotations provided, so description must disclose behavior. It implies read-only but does not explicitly state safety, prerequisites, or what 'detailed information' entails.

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?

Single short sentence is concise but adds little beyond the tool name. Could be expanded to include key details without losing conciseness.

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?

Given no output schema and many sibling tools, the description lacks completeness. It does not explain return values or edge cases.

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 basic descriptions like 'The project key'. Description adds no extra parameter context, so baseline 3 is appropriate.

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?

Description states 'Get detailed information about a dataset' – clear verb and resource. However, it does not distinguish from sibling tools like 'inspect_dataset_schema' or 'check_dataset_metrics'.

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. With many sibling dataset tools, this omission is significant.

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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