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pointillist_view

Renders a protein as an artistic pointillist cloud, replacing the surface with scattered dots and highlighting ligands as bright spheres.

Instructions

Renders the structure as an artistic, abstract pointillist/starfield cloud.

The continuous surface is replaced by thousands of individual dots representing the solvent-accessible surface, resembling a galaxy or pointillist painting. The protein backbone is hidden to emphasize the scattered volume. Ligands are shown as bright yellow spheres (stars) embedded in the cloud.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
obj_nameYesPyMOL object name (e.g. "1abc")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden and addresses it well: it discloses that the continuous surface is replaced by dots, the backbone is hidden, and ligands appear as yellow spheres. It does not mention reversibility or prerequisites, but the core visual behavior is clearly specified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences and immediately states the primary purpose, followed by relevant visual details. Every sentence contributes value, with no filler or repetition, making it concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter rendering tool, the description covers the essential visual behavior and outcome. It does not discuss when to use it versus alternatives, but given the output schema exists and the parameter is clearly documented, the description is sufficiently complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides full coverage for the single parameter 'obj_name' with a clear description and example. The tool description adds no further parameter-specific information, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'Renders the structure as an artistic, abstract pointillist/starfield cloud,' with a specific verb and resource. It distinguishes itself from sibling view tools by detailing the unique visual style (dots, hidden backbone, yellow ligand spheres), making its purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives. The description implies an artistic or abstract visualization but does not state use cases, exclusions, or compare to sibling tools like 'cartoon' or 'surface.' An agent would have to infer appropriateness without clear direction.

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

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