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pointillist_view

Idempotent

Render a protein structure as an abstract pointillist starfield cloud, replacing its surface with thousands of dots and highlighting ligands as bright yellow 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

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

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.5.1
    • addedInput schema / properties / obj_name / description
      Added value: +"PyMOL object name (e.g. \"1abc\")"
  2. First observedv1.2.1

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare non-destructive but non-read-only behavior (readOnlyHint=false, destructiveHint=false), and the description usefully spells out exactly what visual state is mutated: the continuous surface becomes thousands of dots, the backbone is hidden, and ligands are recolored as yellow spheres. It does not say whether this replaces prior representation settings or how to revert, which is the main remaining behavioral gap.

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?

Four short sentences, front-loaded with the core statement of what is rendered before the visual details. Every sentence carries concrete information about the resulting image; only the trailing ligand detail is arguably decorative.

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?

An output schema exists, so return values needn't be explained, and the annotations cover the safety profile. For a one-parameter view tool the description is close to complete, missing only prerequisite conditions (target object must exist/be loaded) and whether the view is reversible.

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 description coverage is 100% and the single parameter obj_name is documented in the schema as a PyMOL object name with an example, so the description adds nothing parameter-specific. Baseline 3 applies since the schema fully carries this burden.

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 opens with a specific verb and resource ("Renders the structure as an artistic, abstract pointillist/starfield cloud") and then concretely describes the visual result — dots replacing the surface, hidden backbone, yellow ligand spheres. That is enough to distinguish it from presentation siblings like textbook_view or cinematic_view without opening either schema.

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 artistic/abstract framing implies when a user would want this over, say, electrostatic_view or hydrophobic_surface_view, but no alternative is named and no exclusion or prerequisite (must have an object loaded) is stated. Usage is inferable rather than guided.

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