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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

delete_dataset

Delete a dataset from a Dataiku DSS project, with the option to drop underlying data.

Instructions

Delete a dataset from a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
dataset_nameYesName of the dataset to delete
drop_dataNoWhether to drop the underlying data
Behavior2/5

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

No annotations provided, so the description must disclose behavior. It only states the action, omitting whether deletion is permanent, reversible, or what happens to the 'drop_data' parameter when omitted. No mention of permissions or effects on dependencies.

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 a single sentence with no wasted words, but it is under-specified given the tool's complexity. Could be expanded 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?

For a destructive operation with 3 parameters and no output schema, the description should explain return values, error conditions, and side effects. It is insufficiently complete.

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 parameter descriptions. The description adds no additional meaning beyond the schema, so baseline 3 applies.

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 'Delete a dataset from a project' clearly indicates the action and resource, but does not differentiate from sibling tools like 'clear_dataset' or 'update_dataset' which have overlapping scope.

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 (e.g., 'clear_dataset' might be for clearing data without deleting the dataset). The description lacks context about prerequisites or consequences.

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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