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vs_indexes_create

Create a Vector Search index on Databricks by specifying the index name, endpoint, primary key, and index type. Supports DELTA_SYNC and DIRECT_ACCESS indexes.

Instructions

Create a Vector Search index (POST /api/2.0/vector-search/indexes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFully-qualified index name (catalog.schema.index)
endpoint_nameYesVector Search endpoint name
primary_keyYesPrimary key column of the source table
index_typeYesDELTA_SYNC | DIRECT_ACCESS
delta_sync_index_specNoRequired for DELTA_SYNC: source_table, embedding_source_columns, etc.
managed_index_configNoRequired for MANAGED indexes (catalog.schema.table, primary_key, etc.)
external_index_configNoRequired for DIRECT_ACCESS external indexes
columnsNo
embedding_dimensionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations indicate mutability (readOnlyHint=false), and description confirms creation. However, no additional behavioral traits are disclosed (e.g., what happens on failure, any limits, side effects). The description adds minimal value beyond annotations.

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?

Description is brief (one line plus endpoint) with no wasted words. Could be structured better but is not verbose.

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

Completeness2/5

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

The tool has 9 params, 4 required, and an output schema (exists but not described). Description fails to explain conditions for choosing between delta_sync_index_spec, managed_index_config, external_index_config, or the output. Incomplete for correct usage.

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 78% (7 of 9 params have descriptions). The description itself does not add extra meaning; the schema already covers parameter purposes adequately. Baseline 3 is appropriate.

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 'Create a Vector Search index' with the HTTP endpoint, directly indicating the action and resource. This distinguishes it from sibling tools like vs_indexes_get, vs_indexes_list, etc., which perform different operations on indexes.

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 this tool vs alternatives (e.g., vs_endpoints_create, vs_indexes_sync) or prerequisites (e.g., need an existing endpoint). The description merely states the action without context for selection.

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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