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ZenML MCP Server

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by zenml-io

get_stack_component

Retrieve detailed information about a specific stack component in ZenML by providing its name, ID, or prefix to access configuration and usage data.

Instructions

Get detailed information about a specific stack component.

Args:
    name_id_or_prefix: The name, ID or prefix of the stack component 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?

With no annotations provided, the description carries full burden for behavioral disclosure. It states it retrieves detailed information but doesn't specify what 'detailed' entails, whether it's a read-only operation, error handling for invalid inputs, or authentication requirements. This leaves significant gaps for a tool with one required parameter.

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

Conciseness5/5

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

The description is front-loaded with the core purpose in the first sentence, followed by a concise parameter explanation. Both sentences earn their place by adding necessary context without redundancy, making it efficiently structured.

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 one parameter with 0% schema coverage and an output schema exists, the description is minimally adequate. It covers the basic purpose and parameter semantics but lacks behavioral details (e.g., read-only nature, error cases) and usage guidelines, which are important for a retrieval tool in a context with many sibling tools.

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%, so the description must compensate. It adds value by explaining that 'name_id_or_prefix' accepts 'name, ID or prefix' of the stack component, which clarifies the parameter's purpose beyond the schema's generic string type. However, it doesn't provide examples, format details, or constraints, keeping it at a baseline level.

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 'stack component' with the qualifier 'detailed information about a specific stack component', making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_stack' or 'list_stack_components', 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?

The description provides no guidance on when to use this tool versus alternatives like 'get_stack' or 'list_stack_components'. It mentions retrieving a specific component but doesn't clarify prerequisites, exclusions, or comparative contexts with sibling tools.

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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