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run_linear_regression

Fit an ordinary least squares linear regression model to data. Specify the dependent variable and independent variables from a CSV file to get regression results.

Instructions

Runs an OLS Linear Regression. target_col is the dependent variable (Y). predictor_cols is a list of independent variables (X). CRITICAL: predictor_cols MUST be a valid JSON array of strings, e.g., ["col1", "col2"].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_colYes
data_file_pathYes
predictor_colsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations present, so description must disclose behavior. Only states it runs OLS regression but omits side effects, output format, error handling, or assumptions. Minimal transparency.

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: three sentences with clear purpose, parameter explanation, and critical warning. No wasted words.

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?

Output schema exists but not shown; return values may be documented there. Lacks prerequisites (file must exist, columns present, data types). Adequate but incomplete for a regression tool.

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?

Adds meaning for target_col and predictor_cols (dependent/independent variables, JSON format requirement). However, data_file_path is undescribed. With 0% schema coverage, description partially compensates but misses one key parameter.

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 'Runs an OLS Linear Regression' and defines target_col as dependent variable and predictor_cols as independent variables. Distinct from sibling tools which are other analyses or plotting.

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

Usage Guidelines3/5

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

No explicit when to use or alternatives. Only implicit from the regression description. Does not explain when not to use or compare to other analysis tools.

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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