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vs_endpoints_create

Create a Databricks Vector Search endpoint by specifying its name and type (STANDARD or OPTIMIZED_STORAGE).

Instructions

Create a Vector Search endpoint (POST /api/2.0/vector-search/endpoints).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesEndpoint name
endpoint_typeYesSTANDARD | OPTIMIZED_STORAGE

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations indicate readOnlyHint=false, so the description's 'Create' aligns with a write operation. However, beyond that, no additional behavioral traits (e.g., side effects, auth needs) are disclosed, though annotations already cover the basic behavioral signal.

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 a single line plus the API path, which is concise and front-loaded. However, it could be slightly more informative without becoming verbose.

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?

Given the presence of an output schema and full parameter coverage in the schema, the description is fairly complete. It could mention the valid values for endpoint_type, but overall it provides the essential context.

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 100%, so both parameters (name, endpoint_type) are documented in the schema. The description adds no extra meaning or context for the parameters beyond the schema, meeting the baseline.

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 clearly states 'Create a Vector Search endpoint' with the specific API endpoint path, making the verb and resource unambiguous. Sibling tools like vs_endpoints_delete and vs_endpoints_list confirm this tool's distinct purpose.

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 about when to use this tool versus alternatives, prerequisites, or when not to use it. The description only states the action without contextual decision-making information.

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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