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pointillist_view

Render a protein structure as an abstract pointillist starfield cloud, replacing surfaces with 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.

Args: obj_name: PyMOL object name (e.g. "1abc")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
obj_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description provides detailed behavioral information about the rendering: dots replacing surface, backbone hidden, ligands as yellow spheres. This sufficiently describes the visual outcome. No annotations exist, so the description carries the full burden, and it meets that need without contradictions.

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

Conciseness4/5

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

The description is concise with a topic sentence and a brief explanation of visual elements, followed by a structured Args section. No extraneous content. Could be more streamlined, but still efficient.

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 single-parameter visualization tool, the description adequately covers the visual effect and parameter. Output schema exists separately, so return value description is unnecessary. The description is complete for the tool's purpose.

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 schema has 0% description coverage, but the tool description includes an Args section explaining obj_name as 'PyMOL object name (e.g. '1abc')'. This adds essential meaning beyond the schema's title, though it could be more detailed (e.g., required format, object must be loaded).

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 pointillist/starfield cloud, using specific visual elements like thousands of dots and hidden backbone. This distinguishes it from sibling view tools by its unique abstract style.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives like cartoon or surface views. Usage context is implied through the artistic description, but no when-not-to-use or alternative comparisons are provided.

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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