create_kinetic_text

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

With no annotations, the description carries the full burden, and it does well: it explains the typing animation, 3D camera pan, return of a finished MP4 path, and how to use the output. It doesn't mention side effects, but for a rendering tool this is acceptable.

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?

It's slightly longer than the briefest possible, but every sentence adds value: purpose, use case, effects, styles, and output usage. It's front-loaded with the core action and maintains a logical flow.

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 (8 parameters, nested object, no output schema), the description is remarkably complete. It covers what the tool does, the visual output, all enum choices, defaults, and downstream integration points. No significant gap remains.

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%, so baseline is 3. The description adds value by explaining what each effect looks like (e.g., billboard_flip 'words fly from Z-depth and snap into place') and how font_size and duration_sec auto-scale, which goes beyond the schema's terse property descriptions.

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 opens with a specific verb+resource: 'Render a standalone cinematic typing-animation video.' It clearly distinguishes itself from siblings by explaining the output feeds into publish_now or create_video_assembly, and it describes the animation effects and styles in detail.

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?

It states a clear use case ('great for explainer intros that visually demo what a user types into the prompt') and describes the three effects and styles to guide selection. It doesn't explicitly name alternatives to avoid, but the context with sibling tools is sufficient.

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