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steven0lisa

Dataiku DSS MCP Server

by steven0lisa

list_recipes

List all recipes in a Dataiku DSS project, with optional filters by recipe type or search keyword.

Instructions

List all recipes in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
recipe_typeNoOptional filter by recipe type
searchNoOptional search keyword to filter recipes by name
simpleNoWhether to return only simplified recipe information (name, projectKey, type)
Behavior2/5

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

No annotations are provided, so the description must convey all behavioral traits. It describes a read operation ('list all recipes') but omits details about pagination, sorting, default behavior of the simple parameter, or what fields are returned.

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 short (one sentence) but lacks structure. While concise, it omits critical information that would help an agent, making it minimally viable 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?

Without an output schema, the description should explain return values. It does not. Given 4 parameters and no annotations, the description is incomplete and leaves the agent with significant unknowns.

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 extra meaning or usage context beyond what the schema provides, resulting in baseline adequacy.

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 verb 'List' and the resource 'recipes' with scope 'in a project', making the purpose unambiguous. It distinguishes from single-recipe tools like get_recipe_info implicitly, but does not explicitly contrast with siblings.

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 such as get_recipe_info or list_scenarios. No prerequisites (e.g., project must exist) or conditions are 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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