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Visualize molecular structures by applying a selected representation (cartoon, sticks, spheres, surface) to a given selection, clarifying protein features and interactions.

Instructions

Shows a graphical representation for a given selection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
selectionNoPyMOL selection string. See module-level note for syntax.all
representationYesOne of ``cartoon``, ``sticks``, ``spheres``, ``surface``, ``lines``, ``ribbon``, ``dots``, ``mesh``, ``nb_spheres``, ``labels``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 only says 'Shows a graphical representation' but does not explain whether the representation is added to or replaces existing ones, or disclose any side effects or prerequisites.

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 a single sentence that gets straight to the point without any redundant or irrelevant information. It is as concise as possible while still conveying the core purpose.

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

Completeness3/5

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

Despite the schema's rich parameter descriptions, the description itself is minimal and does not clarify the tool's behavior relative to similar commands (e.g., 'as' or 'hide') or its effect on the current state. Given the tool's relative simplicity, this is adequate but leaves meaningful gaps.

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?

Schema coverage is 100% with descriptive parameter definitions (e.g., selection string syntax, representation options). The description adds no parameter-specific meaning beyond that, so the baseline score of 3 applies.

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 a specific action: 'Shows a graphical representation for a given selection.' It identifies the resource (graphical representation) and scope (given selection), distinguishing it from sibling commands like 'hide' or 'delete'.

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?

The description gives no guidance on when to use this tool versus alternatives such as 'as' (which sets representation) or 'hide'. There is no mention of context, prerequisites, or exclusions.

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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