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get_figma_image

Export Figma design elements as image URLs for integration into AI workflows. Specify format and scale to generate PNG, JPG, SVG, or PDF files from Figma nodes.

Instructions

Export a rendered image of a Figma node as a URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
figmaUrlYesFigma design URL with a node-id parameter
formatNoImage export format (default: png)png
scaleNoImage scale factor (default: 2, max: 4)
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 mentions exporting an image as a URL, implying a read operation, but doesn't cover aspects like authentication needs, rate limits, error handling, or what the URL format entails (e.g., temporary vs. permanent). This leaves significant gaps for a tool that interacts with an external service.

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, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action, making it easy to parse and understand quickly.

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 the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is minimally adequate. It explains what the tool does but lacks details on behavioral traits and usage context, which are important for an external API tool. The high schema coverage helps, but overall completeness is limited.

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 input schema has 100% description coverage, detailing each parameter's purpose, constraints, and defaults. The description adds no additional semantic context beyond what the schema provides, such as examples or edge cases, so it meets the baseline for high schema coverage.

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 action ('Export') and resource ('a rendered image of a Figma node'), making the purpose understandable. However, it doesn't differentiate from the sibling tool 'get_figma_context', which might handle different aspects of Figma data, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives like 'get_figma_context' or other image export methods. It lacks context about prerequisites or exclusions, leaving the agent to infer usage from the parameters alone.

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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