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create_new_model_api_v1_models_create_post

Create a new AI model in OpenWebUI by providing its ID, name, metadata, and configuration parameters.

Instructions

Create New Model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
access_grantsNo
base_model_idNo
idYes
is_activeNo
metaYes
nameYes
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only says 'Create New Model,' omitting any details about side effects, permissions, idempotency, or what the creation entails. This is insufficient for a mutation tool.

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 extremely concise (3 words), but it sacrifices usefulness. While conciseness is positive, it fails to serve the agent because it omits critical information. It is under-specified rather than efficiently dense.

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

Completeness1/5

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

Given the complexity of 7 parameters (including nested objects), an output schema, and no annotations, the description is wholly inadequate. It does not mention required fields, behavior, or return values, leaving a large knowledge gap for the agent.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain parameters, but it provides none. The input schema has 7 parameters with only their names and types, no descriptions are added. The description adds no semantic value beyond the schema.

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 a verb and resource ('Create New Model'). However, it does not differentiate this tool from siblings like create_new_chat, create_new_channel, etc., which also create resources.

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 on when to use this tool versus alternatives. Among many create tools, there is no contextual hint about prerequisites or scenarios where this tool is appropriate.

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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