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vs_indexes_list

Read-only

List all Vector Search indexes in a Databricks workspace. Optionally filter by endpoint name to scope the listing.

Instructions

List Vector Search indexes (GET /api/2.0/vector-search/indexes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_nameNoOptional endpoint name to scope the listing

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already declare readOnlyHint=true, and the description adds no additional behavioral traits beyond stating the action is a list.

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?

Single line plus API endpoint reference is concise and front-loaded. Could be slightly more informative without verbosity.

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?

With output schema present and low parameter count, the description is minimally adequate. Lacks usage context but sufficient for a simple list operation.

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 coverage is 100% with a description for the parameter. The tool description does not add semantic value beyond what the schema provides.

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?

Description clearly states 'List Vector Search indexes' with a specific verb and resource. It distinguishes from sibling tools like vs_indexes_create, vs_indexes_get, etc.

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 on when to use vs alternatives. The optional endpoint_name parameter is mentioned but not explained when to filter.

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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