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serving_endpoints_create

Create a serving endpoint to deploy and serve machine learning models with configured served entities, traffic, and AI gateway.

Instructions

Create a serving endpoint (POST /api/2.0/serving-endpoints).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesServing endpoint name
configYesEndpoint config containing ``served_entities`` (or ``served_models``), ``traffic_config``, ``auto_capture_config``, and ``ai_gateway`` as needed.
route_optimizedNoWhether to optimize routing for the endpoint

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already indicate a write operation (readOnlyHint=false). The description adds no behavioral details beyond 'Create', such as idempotency, failure conditions, or side effects. With annotations present, the description still fails to provide additional context.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks substance. It includes an API endpoint reference that may not be useful for an AI agent. It is not overly verbose, but simplicity comes at the cost of completeness.

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 complexity (nested config object, output schema exists), the description provides minimal context. It does not explain the return value, default behavior for route_optimized, or uniqueness constraints. However, the output schema and parameter descriptions partially compensate.

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 descriptions for all three parameters. The description does not enhance parameter understanding beyond what the schema provides. Baseline score of 3 is appropriate.

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 action ('Create a serving endpoint') and the resource, distinguishing it from sibling tools like get, update, delete. However, it lacks any additional context or scope, making it merely adequate.

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 versus alternatives (e.g., serving_endpoints_update). No prerequisites, conditions, or exclusions provided.

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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