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zenml-io

ZenML MCP Server

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by zenml-io

get_model

Retrieve a specific model from the ZenML platform using its name, ID, or prefix to access pipeline data and configuration details.

Instructions

Get a model by name, ID, or prefix.

Args:
    name_id_or_prefix: The name, ID or prefix of the model to retrieve

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
name_id_or_prefixYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions retrieval but lacks details on permissions, error handling, rate limits, or what happens if the model doesn't exist. This is inadequate for a tool with no annotation coverage.

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 brief and front-loaded with the main purpose, followed by a parameter note. It avoids unnecessary words, though the structure could be slightly improved by integrating the parameter explanation more seamlessly.

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) and low complexity, the description is minimally adequate. However, with no annotations and incomplete parameter details, it lacks completeness for safe and effective use.

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 0%, but the description adds meaning by explaining that 'name_id_or_prefix' accepts name, ID, or prefix. However, it doesn't specify format, examples, or constraints, leaving gaps in parameter understanding.

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 ('Get') and resource ('a model'), specifying it retrieves by name, ID, or prefix. However, it does not explicitly differentiate from sibling tools like 'list_models' or 'get_model_version', which would require a 5.

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 'list_models' for browsing or 'get_model_version' for specific versions. The description only states what it does, not when it's appropriate.

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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