wizard_environment

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

The description discloses important behavioral traits beyond the schema: it generates multiple scene components in one call, and it warns that rendering is CPU-heavy and should be kept False for scene building. It also clarifies that samples only matter when render=True. With no annotations provided, the description carries the burden well, though it could mention side effects like replacing existing scene content or creating new objects.

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 well-structured with a clear summary line followed by a compact Args list. Every parameter is covered in a single line. It's slightly longer than necessary but the format is scannable and front-loaded with the core purpose. The 'Generates:' line is efficient.

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?

For a 7-parameter tool with no output schema and no annotations, the description covers the essential context: what the tool does, what each parameter means, and a key performance warning. It doesn't describe the return value or what happens in the Blender scene (e.g., whether it replaces existing objects), but it's largely complete for an agent to invoke it correctly.

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 must compensate, and it does. It explains the meaning of env_type (with a list of valid values), time_of_day (with values), density (vegetation/object density 0-1), terrain_size (terrain dimensions in meters), render (CPU-heavy flag), samples (render samples if render=True), and output_path (optional .blend save location). This adds substantial meaning beyond the bare schema titles.

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 states a specific verb ('Create') and resource ('a complete natural environment') and enumerates exactly what is generated: terrain, vegetation, sky, lighting, and camera. It clearly distinguishes itself from sibling tools like create_terrain or create_tree by being a one-call environment generator.

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 gives clear context for when to use the tool: when a complete environment is needed in one call. It also provides a practical usage hint: 'Keep False for scene building' for the render parameter. However, it doesn't explicitly name alternatives or state when NOT to use this tool (e.g., when only a single terrain or tree is needed, use create_terrain or create_tree).

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