generate_model

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

With no annotations provided, the description must fully disclose behavioral traits. It mentions the asynchronous nature ('may take time') and the need to save returned ids. However, it does not discuss rate limits, authentication requirements, error conditions, or resource costs. This is adequate but incomplete for a complex generation tool.

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 three sentences long, front-loading the main purpose and then explaining response and workflow. It is concise, with no redundant phrases, and every sentence contributes to understanding the tool's behavior and next steps.

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?

Given 15 parameters and no output schema, the description adequately covers the tool's workflow: starting generation, saving the returned uuid and subscription_key, and using check_status for tracking. It could be improved by explicitly stating the asynchronous nature and mentioning that the output can be downloaded later via download_model. Overall, it provides sufficient context for an agent to use the tool correctly in a multi-step process.

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?

The input schema has 100% coverage, with descriptions for all 15 parameters. The description adds minimal value beyond repeating that generation is based on 'prompt and parameters' and mentions image uploads (max 5) and bbox_condition briefly. Since the schema already documents parameters, the baseline is 3, and the description does not significantly enhance understanding of parameter usage.

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 that the tool initiates a 3D model generation process and sends a request. It specifies the action (create), the resource (3D model), and distinguishes from sibling tools like check_status (which tracks progress) and download_model (which retrieves the result). The verb 'initiates' and the mention of a 'main uuid and subscription_key' provide precise context.

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?

The description explains that the response includes uuid and subscription_key which must be saved to continue tracking progress via the check_status tool. It also notes that generation may take time, guiding users to use check_status for updates. However, it does not explicitly state when not to use this tool or list alternatives for different scenarios, such as when immediate results are needed.

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