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create_pca_plot

Create a PCA scatter plot of PC1 vs PC2 to visualize population structure from genetic data. Optionally overlay population labels for clear grouping.

Instructions

Create a PCA scatter plot showing population structure. Plots PC1 vs PC2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pca_results_pathYesPath to PCA results file (with PC1, PC2 columns)
population_labels_pathNoOptional path to population labels file
output_pathNoPath to save the plot
titleNoPlot titlePCA Plot
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states what the tool creates but does not describe edge cases, required file formats, error conditions, or side effects like overwriting output files.

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 extremely concise: two short sentences with no wasted words. The first sentence front-loads the core purpose.

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?

For a simple plotting tool with no output schema, the description covers the basic operation but lacks details on file format requirements, optional input usage, and error handling. It is minimally adequate.

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?

Input schema has 100% coverage with descriptions for all 4 parameters. The description adds no new parameter information beyond 'Plots PC1 vs PC2', which is already implied. Baseline 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 tool creates a PCA scatter plot showing population structure, and specifies it plots PC1 vs PC2. This distinguishes it from sibling plotting tools like Manhattan, QQ, and regional plots.

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 such as create_manhattan_plot or create_qq_plot. It does not mention prerequisites or scenarios.

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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