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

With no annotations, the description carries full burden. It discloses that real bodies stay unless omitted, and synthetic attributes flow into pixel spec and prompt. However, it does not describe output format, side effects, required permissions, or error cases.

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?

Three sentences that front-load the purpose and process. The second sentence adds behavioral detail, the third clarifies defaults. No redundant information. Efficient and clearly structured.

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 tool's complexity (13 parameters, nested objects, no output schema), the description adequately explains the core concept and behavioral expectations. However, it omits details on error handling, output format, and guidance for the complex `system` structure.

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 schema has 62% coverage of parameter descriptions. The description adds context for the `bodies` parameter (default inclusion of real bodies) and implies purpose for `system`, but does not detail other parameters (lat, lon, date, etc.). It adds marginal value beyond the schema.

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 it creates a sky view for a mix of real and synthetic bodies, registering the system and framing the visible sky like sky_view. It distinguishes from sky_view by explicitly mentioning synthetic bodies and the flow of render attributes, though the output (likely an image) is implicit.

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 implies use when synthetic bodies are involved, and contrasts with sky_view ('like sky_view'), but provides no explicit when-not or alternative guidance. Siblings like synthetic_positions or synthetic_validate are not mentioned for comparison.

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