blockbench_capture_turntable

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

No annotations provided, so description carries full burden. It mentions 'automatically frame and capture' but does not disclose side effects (e.g., modifies scene, returns images, destructive actions). Missing behavioral context like whether it overwrites previous captures or requires specific project state.

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?

Single sentence is concise and front-loaded with key purpose. However, structure could be improved to separate details like parameter hints or behavioral notes. Every word earns its place.

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?

With 5 parameters, no output schema, and no annotations, the description is incomplete. It does not mention output format (e.g., captured images), prerequisites (active model), or limitations. Agent likely needs additional context to use 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 low (20%) with only 'distance' having a description. The description lists view names matching the enum but does not explain other parameters (width, height, orthographic) or their defaults/ranges meaningfully beyond schema basics.

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?

Description clearly states action (frame and capture) and resource (active model) and specifies the views (hero, front, side, back) and context (AI visual refinement loop). It distinguishes from siblings like blockbench_capture_preview which likely captures a single view.

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?

Description implies usage in AI refinement loop but does not explicitly state when to use versus alternatives, nor provide when-not-to-use or exclusions. Compared to siblings like blockbench_capture_preview or blockbench_set_camera, guidance is minimal.

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