blend-ai

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the output format and file naming convention but omits critical details: whether this is a time-intensive operation, if it requires specific render settings, what happens to existing files with the same prefix, or any performance implications. For a rendering tool with zero annotation coverage, this leaves significant gaps.

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 efficiently structured with a clear purpose statement followed by organized sections for Args and Returns. Every sentence adds value without redundancy, and the information is front-loaded with the core functionality stated first.

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 (rendering animation sequences), no annotations, and an output schema present (which handles return values), the description is partially complete. It covers parameters well but lacks behavioral context about performance, dependencies, or error conditions. The presence of an output schema means the description doesn't need to explain return values, but it should address more operational aspects.

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. It effectively explains both parameters: 'filepath' as the output prefix with frame number suffixing, and 'format' with the specific enum values (PNG, JPEG, OPEN_EXR, TIFF, BMP). This adds meaningful context beyond the bare schema, though it doesn't detail default behaviors or constraints.

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 specific action ('Render the animation sequence') and resource ('to image files'), distinguishing it from sibling tools like 'render_image' (single image) and 'capture_viewport' (viewport screenshot). It precisely defines the tool's scope as generating multiple frames from an animation sequence.

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?

No guidance is provided on when to use this tool versus alternatives like 'render_image' for single frames or 'capture_viewport' for viewport captures. The description lacks context about prerequisites (e.g., needing an animation setup) or when this tool is appropriate versus other rendering methods.

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