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create-wordcloud

Generate word cloud images from text input to visualize word frequency patterns, with options to get a URL or save files in SVG or PNG format.

Instructions

Create a word cloud using QuickChart.io - get word cloud image URL or save word cloud image to file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesWhether to get word cloud URL or save as file
outputPathNoPath where to save the file (only used with action=save_file)
textYesInput text for word cloud generation
formatNoOutput format (default: svg)
widthNoImage width in pixels
heightNoImage height in pixels
backgroundColorNoBackground color - rgb, hex, hsl, or color names
fontFamilyNoFont family to use for words
fontWeightNoFont weight (normal, bold, etc.)
loadGoogleFontsNoGoogle Fonts to load (comma-separated)
fontScaleNoLargest font size for most frequent words
scaleNoFrequency scaling method
paddingNoPixel spacing between words
rotationNoMaximum word rotation angle in degrees
maxNumWordsNoMaximum number of words to display
minWordLengthNoMinimum word character length
caseNoWord case transformation
colorsNoArray of color values for words
removeStopwordsNoRemove common stopwords
cleanWordsNoRemove symbols and extra characters from words
languageNoLanguage code for stopword removal (e.g., 'en', 'es')
useWordListNoTreat input text as a list of words rather than sentences
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 the two action types (get_url, save_file) but doesn't describe what happens during each action, potential limitations, rate limits, authentication requirements, or what happens if the service is unavailable. For a tool that presumably makes external API calls, this is insufficient behavioral context.

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, efficient sentence that communicates the core functionality and two main options. It's appropriately sized for the tool's complexity, though it could potentially benefit from slightly more context about when to choose each action type.

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?

For a tool with 22 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what a word cloud is, what the output looks like, any limitations or requirements, or how to interpret results. The agent would need to rely entirely on the parameter schema without contextual guidance about the tool's behavior and appropriate use cases.

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?

With 100% schema description coverage, the schema already documents all 22 parameters thoroughly. The description mentions the two action types but doesn't add meaningful semantic context beyond what's in the parameter descriptions. The baseline of 3 is appropriate when the schema does all the heavy lifting for parameter documentation.

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's purpose: 'Create a word cloud using QuickChart.io' with two possible outcomes (get URL or save to file). It specifies the service provider (QuickChart.io) and the output types, but doesn't explicitly differentiate from sibling tools like 'create-chart-using-chartjs' or 'create-barcode' beyond mentioning 'word cloud' specifically.

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. There are multiple sibling tools for creating visualizations (charts, diagrams, barcodes, etc.), but the description doesn't indicate when a word cloud is appropriate versus other visualization types or which sibling tools might be alternatives for similar tasks.

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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