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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

create_recipe

Create a new recipe in a Dataiku DSS project by specifying recipe type, name, inputs, outputs, and optional code.

Instructions

Create a new recipe in a Dataiku project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
recipe_typeYesType of recipe (e.g., python, sql, join)
recipe_nameYesName for the new recipe
inputsYesList of input dataset names
outputsYesList of output dataset configurations
codeNoOptional code for the recipe
Behavior2/5

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

With no annotations, the description carries full burden but only states 'Create a new recipe'. It fails to disclose any behavioral traits like side effects, required permissions, or whether it can overwrite an existing recipe.

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?

The description is a single, efficient sentence that is front-loaded with the core purpose. Every word earns its place with no redundancy.

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 full schema coverage, the description lacks context on return values, error handling, or any behavioral details. For a tool with 6 parameters, this is insufficient for an agent to anticipate outcomes.

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%, so the schema already documents each parameter. The description adds no additional meaning beyond what is in the schema, resulting in a baseline score of 3.

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 verb 'Create', the specific resource 'recipe', and the context 'in a Dataiku project'. It effectively distinguishes from sibling tools like create_dataset or create_scenario.

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 is provided on when to use this tool versus alternatives such as update_recipe or run_recipe. There are no prerequisites, conditions, or exclusions mentioned.

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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