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MoleCare
by MoleCare

get_feature_views

List all Feast feature views to inspect their entities, features, and data sources. Quickly understand your feature store structure for MLOps debugging or discovery.

Instructions

List all Feast feature views with their entities, features, and data sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The verb 'List' reasonably implies a non-mutating read operation, and the description states what is returned. However, with no annotations provided, the description carries the full burden and does not disclose potential aspects like result size, ordering, or whether all views must be readable by the caller.

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 one short, front-loaded sentence that packs the resource, the scope ('all'), and the response contents without any filler. Every phrase earns its place.

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

Completeness4/5

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

For a zero-parameter list endpoint, the description is nearly complete: an agent knows exactly what will be listed and must only invoke the tool. Minor ambiguity remains around response shape, but the described output clauses make the expected result clear enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters and 100% schema description coverage, so there is no parameter behavior to document. The description focuses on what the call returns, which is appropriately sufficient here.

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 uses a specific verb ('List all') with a specific resource ('Feast feature views') and clarifies the contents of the response ('entities, features, and data sources'). It clearly distinguishes the tool as an aggregate listing tool rather than a detail/freshness tool.

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 gives clear evidence of what the tool does but offers no guidance on when to prefer it over sibling tools like get_feature_view_details or get_feature_freshness. No when-to-use or alternates are mentioned.

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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