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plot_static_scatterplot

Generate publication-ready scatter plots from data files. Specify x/y columns, labels, titles, and optional hue for color grouping.

Instructions

Generates a static Matplotlib/Seaborn scatter plot (for papers/publications).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
x_labelYes
y_labelYes
x_columnYes
y_columnYes
hue_columnNo
data_file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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; it mentions Matplotlib/Seaborn but fails to disclose output format, side effects, or constraints (e.g., file size, column requirements), leaving significant behavioral gaps.

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, concise sentence with no extraneous words, achieving maximal efficiency.

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?

Despite having an output schema, the description is too brief for a tool with 7 parameters; it omits prerequisites (e.g., data file format), the role of hue_column, and what the return value is, leaving the agent underinformed.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description provides no explanation of any of the 7 parameters (e.g., data_file_path, x_column, hue_column), offering zero added value beyond the schema field names.

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 action ('generates'), the resource ('static scatter plot'), and the context ('for papers/publications'), which distinguishes it from interactive plotting tools and other static plot types 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 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 such as interactive scatter plots or other static plot types; the description only implies usage for publication-quality plots without exclusions.

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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