Skip to main content
Glama

render_preset

Destructive

Render molecules with curated publication-oriented presets, eliminating fragile manual representation choices while allowing custom atom selection.

Instructions

Render a molecule using a curated publication-oriented visual preset.

Presets reduce brittle representation/coloring choices while still allowing a custom atom selection when needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameNo
widthNo
heightNo
outputNorender.png
presetNopublication_cartoon
selectionNo
structureYes
trajectoryNo
Behavior2/5

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

Annotations indicate destructiveHint=true, which is counterintuitive for a rendering tool (likely due to file output). The description does not clarify side effects like file creation or overwriting, nor does it disclose permission requirements or output behavior.

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 at two sentences, with the first sentence providing the core purpose and the second adding context about presets. It is front-loaded and avoids unnecessary words.

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

Completeness2/5

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

Given 8 parameters (including a required 'structure'), no schema descriptions, and no output schema, the description is incomplete. It omits essential details about input format, output file behavior, and trajectory handling, leaving critical gaps for proper tool invocation.

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

Parameters2/5

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

With 0% schema description coverage, the description only mentions 'selection' and 'preset' (implicitly via the concept of presets). It fails to explain critical parameters like 'structure', 'output', 'frame', 'trajectory', or dimensional attributes, leaving the agent with insufficient semantic context.

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

Purpose4/5

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

The description clearly states the tool renders a molecule using curated presets, with a specific focus on publication-oriented visuals. It implies differentiation from a generic render by emphasizing presets, but does not explicitly distinguish from sibling tool 'render_image'.

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?

No explicit guidance on when to use this tool versus alternatives like 'render_image'. The mention of 'reducing brittle choices' subtly suggests usage for publication-quality renders, but lacks clear when-to-use or when-not-to-use instructions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Alierkn/vmd-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server