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create_waffle_chart

Visualize proportional data as an icon grid showing 'X out of 100' proportions. Use for budget shares, demographic breakdowns, or any part-to-whole comparisons.

Instructions

Waffle chart (icon grid) for proportional data. 'X out of 100' visualization.

More intuitive than pie charts for showing proportions.

Ideal for: '1 in 4 Serbs live in Belgrade', budget share, sector breakdown.

Returns: {filepath, title, categories}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesRow dicts
themeNoVisual themedark
titleNoChart title
filenameNoOutput filenamewaffle_chart
total_iconsNoTotal icons in grid (100=10×10)
names_columnYesCategory labels
values_columnYesNumeric values (normalized to fill grid)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. Specifies return format {filepath, title, categories} and mentions normalization behavior for values_column. Lacks details on side effects, permissions, or rate limits.

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?

Extremely concise: a single paragraph with a brief list. Every sentence adds value, no wasted words.

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?

Given no annotations and 7 parameters, the description explains purpose, usage, and return format adequately. Could benefit from more detail on data requirements or output structure, but sufficient.

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 coverage is 100%, baseline 3. Description adds minimal new meaning beyond schema, e.g., 'normalized to fill grid' for values_column, but mostly reiterates field descriptions.

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?

Clearly states it's for waffle chart (icon grid) for proportional data, specifically 'X out of 100' visualization. Provides examples and distinguishes from other chart tools among siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Mentions ideal use cases like proportional data, but does not explicitly state when not to use or suggest alternatives. Clear context for appropriate use.

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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