create_model

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

With no annotations, the description carries the full burden of behavioral disclosure. It fails to mention side effects (e.g., overwriting existing models), required permissions, error handling, or whether the operation is asynchronous. Only states 'Create a new AI model configuration.' without any safety or behavioral context.

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

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

The description is efficiently structured using a docstring format with Args and Returns sections. Every sentence provides necessary information with no wasted words or repetition.

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

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

Although the tool has an output schema, the description only vaguely mentions 'Created model details,' leaving out specifics like what fields are returned. Missing behavioral details (error states, uniqueness constraints) and lack of usage guidance make it incomplete for a 3-parameter creation tool with no annotations.

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

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

Schema description coverage is 0%, so the description provides the only documentation for the three parameters. It adds concrete examples (e.g., 'gpt-4', 'openai', 'language') that clarify expected values beyond the schema's empty descriptions. However, it does not specify constraints like allowed providers or types beyond examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a new AI model configuration, using a specific verb ('Create') and resource ('AI model configuration'). It is distinct from sibling tools like delete_model or list_models, but does not differentiate from other 'create_*' tools beyond the resource type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not specify when to use this tool versus alternatives (e.g., update_model, which does not exist but could be inferred), nor does it mention prerequisites, when-not-to-use, or potential duplicates.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.