ZenML MCP Server

Official

Overview Schema Related Servers Score Discussions

list_flavors

Retrieve and filter available flavors in the ZenML workspace to manage pipeline components with sorting and pagination options.

Instructions

List all flavors in the ZenML workspace.

Args:
    sort_by: The field to sort the flavors by
    page: The page number to return
    size: The number of flavors to return
    logical_operator: The logical operator to use
    id: The ID of the flavors
    created: The creation date of the flavors
    updated: The last update date of the flavors

Input Schema

TableJSON Schema

Name	Required	Default
`sort_by`	No	desc:created
`page`	No
`size`	No
`logical_operator`	No	and
`id`	No
`created`	No
`updated`	No
`name`	No
`integration`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

Tool Definition Quality

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions listing but doesn't cover pagination behavior, rate limits, authentication needs, or what 'all flavors' means in practice (e.g., workspace scope limitations).

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 efficiently structured with a clear purpose statement followed by parameter explanations. However, the parameter list is incomplete compared to the schema, and the formatting could be more consistent.

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 tool has an output schema (which handles return values) but zero annotation coverage and incomplete parameter documentation, the description is moderately complete. It covers basic purpose and some parameters but lacks behavioral context needed for a listing tool with filtering capabilities.

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?

The description lists 7 parameters with brief explanations, but the input schema has 9 parameters (missing 'name' and 'integration'). With 0% schema description coverage, this adds some value but doesn't fully compensate for the undocumented parameters or provide format details.

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 action ('List all flavors') and resource ('in the ZenML workspace'), providing specific purpose. However, it doesn't differentiate from sibling tools like 'get_flavor' or other 'list_' tools, preventing a perfect score.

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 like 'get_flavor' for single flavor retrieval or other filtering methods. The description lacks context about appropriate use cases or prerequisites.

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

Install Server

Latest Blog Posts

Tool Definition Quality Score (TDQS)
By punkpeye on April 3, 2026.
mcp
The Hackers Who Tracked My Sleep Cycle
By punkpeye on March 26, 2026.
security
Open Source Has a Bot Problem
By punkpeye on March 19, 2026.
open source

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/zenml-io/mcp-zenml'

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