generate_world_from_image

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

The description correctly notes that the tool returns immediately with an operation_id, implying asynchronous processing. However, it lacks details about error handling, rate limits, or any destructive effects (none expected). Without annotations, more behavioral context would be beneficial.

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 exceptionally concise with two sentences. The first sentence states the core purpose, and the second adds a critical behavioral detail (synchronous return of operation_id). No superfluous words.

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 the existence of an output schema (context), the description need not detail return values, but it does mention the operation_id. It covers the essential aspects for a generation tool, though additional info on error states or polling could improve completeness.

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 coverage is 100% and each parameter has a clear description in the schema. The tool description adds no extra insight beyond the schema, meeting the baseline for well-documented parameters.

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 generates a 3D world from a public image URL. It distinguishes from siblings like generate_world_from_text and generate_world_from_video, but does not explicitly differentiate from generate_world_from_media_asset, which likely handles uploaded media vs public URLs.

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 guidance on when to use this tool versus its siblings, especially generate_world_from_media_asset for uploaded files. No scenarios or prerequisites are mentioned, leaving the agent to infer usage.

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