glitch_point_cloud

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

No annotations are provided, so the description carries the full burden. It discloses the effect's mechanics (sampling points, 3D rotation, depth displacement) and prerequisites, but does not reveal side effects, mutability, or required permissions. The return format is mentioned.

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 succinct and well-organized: a one-line effect summary, a detailed technical explanation, a bulleted argument list, and a return note. Every sentence adds value without redundancy.

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 tool with six parameters and no annotations, the description covers the core functionality, all parameters, and the return value. It mentions the GPU requirement and specifies input/output as video paths. Minor gaps exist (e.g., performance implications), but overall it is adequate.

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?

All six parameters are individually described with clear meaning, ranges (e.g., density 0-1), and defaults. This fully compensates for the 0% schema coverage, providing essential context beyond the schema's type-only definitions.

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 applies a 'point cloud rendering effect' with a specific verb and resource. It distinguishes from siblings by describing a unique 3D-rotated grid with depth-based displacement, setting it apart from other glitch effects.

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 lacks explicit when-to-use or alternative guidance, but it implies usage for creating volumetric point cloud looks. It mentions a prerequisite (Node.js + GPU) but does not differentiate from similar effects like glitch_depth_splatting.

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