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zenml-io

ZenML MCP Server

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by zenml-io

list_artifacts

Retrieve and filter artifacts from the ZenML workspace with options to sort, paginate, and search by name, date, or tags.

Instructions

List all artifacts in the ZenML workspace.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sort_byNodesc:created
pageNo
sizeNo
logical_operatorNoand
createdNo
updatedNo
nameNo
tagNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 only states it's a list operation without disclosing behavioral traits like pagination behavior, rate limits, authentication needs, or what 'list all' means in practice. It mentions parameters but doesn't explain their impact on behavior.

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 front-loaded with the core purpose, but the parameter list is verbose and repetitive (e.g., 'The field to sort the artifacts by' could be condensed). It's moderately efficient but could be more streamlined.

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 8 parameters, no annotations, but an output schema exists, the description is partially complete. It covers the basic purpose and most parameters but lacks behavioral context and misses one parameter, making it adequate but with clear gaps for a listing tool.

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 8 parameters (including 'tag' not mentioned). With 0% schema description coverage, this adds some value but doesn't fully compensate for the undocumented 'tag' parameter or provide detailed semantics like format examples for dates.

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 resource ('all artifacts in the ZenML workspace'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'list_models' or 'list_pipelines' beyond the resource type, which prevents 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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or comparisons to other list tools in the server, leaving the agent with minimal usage direction.

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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