Skip to main content
Glama
mater1996

sketch-mcp-server

by mater1996

renderNodeAsBase64

Renders a Sketch node as a Base64-encoded PNG or SVG image, enabling AI tools to visualize the design's actual appearance.

Instructions

Render a node as Base64 encoded image (SVG format) for AI to visualize the actual appearance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesThe ID of the node to render as image
formatNoThe output image formatsvg
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the output format (SVG, implied by 'Base64 encoded image') and mentions the encoding, but does not detail side effects, performance considerations, or limitations on node types. It is moderately transparent.

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 a single concise sentence that front-loads the essential information. No wasted words, but could potentially include a brief note on use case without losing conciseness.

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?

Given no output schema, the description should clarify what the tool returns (e.g., a string containing a data URL). It mentions 'Base64 encoded image (SVG format)' but does not specify if it includes a MIME type or prefix. It is adequate but not fully complete.

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?

Both parameters have descriptions in the input schema (100% coverage). The tool description does not add additional meaning beyond what the schema already provides, so baseline score 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 verb ('Render'), resource ('node'), outcome ('Base64 encoded image'), and purpose ('for AI to visualize the actual appearance'). It is specific and distinct from sibling tools, which are mostly about retrieval or structure.

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 guidance on when to use this tool versus alternatives, no exclusions, and no context on prerequisites or best practices. The description only states the core functionality without usage cues.

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/mater1996/sketch-mcp-server'

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