Skip to main content
Glama
steven0lisa

Dataiku DSS MCP Server

by steven0lisa

get_project_flow

Obtain the full hierarchical structure of recipes and datasets in a Dataiku project, representing the entire data pipeline.

Instructions

Get complete data flow/pipeline structure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyYesThe project key
Behavior2/5

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

With no annotations, the description carries the full burden but only states the action; it omits details like whether the operation is read-only, potential performance implications, or what 'complete' entails.

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

Conciseness4/5

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

The description is extremely concise (one phrase), which is efficient, though it could include a bit more context without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity (1 required param, no output schema), the description is minimally viable but lacks details about the return structure, which is important for an agent to understand what 'data flow/pipeline structure' means.

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% and the parameter description is adequate, but the tool description adds no extra meaning beyond the schema's 'The project key'. Baseline score of 3 is appropriate.

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 explicitly states the verb 'Get' and the resource 'complete data flow/pipeline structure', clearly distinguishing it from sibling tools that target specific components like datasets or recipes.

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 get_dataset_info or get_recipe_info, leaving the agent without context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/steven0lisa/mcp-dataiku'

If you have feedback or need assistance with the MCP directory API, please join our Discord server