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gretl_ols

Estimate an OLS regression model on a dataset and open the workflow in the Gretl GUI.

Instructions

Open a dataset, estimate an OLS model, and open the same workflow in Gretl GUI by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
safeModeNo
requireGuiNoRequire the visible Gretl GUI to open for this workflow. Defaults to true outside CI.
datasetPathYesPath to a Gretl-supported dataset.
gretlCliPathNo
gretlGuiPathNo
displayInGretlNoOpen a visible Gretl GUI script window for this workflow. Defaults to true outside CI.
guiNewInstanceNo
timeoutSecondsNo
includeConstantNo
dependentVariableYesDependent variable name.
independentVariablesYesIndependent variable names.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions opening a GUI by default but does not address side effects (e.g., data modification, file creation), required permissions, or error handling. The safeMode parameter is not explained in the description.

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 sentence, efficiently conveying the core action. However, it is slightly under-specified, lacking details that would improve usefulness without expanding length.

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?

With 11 parameters, no output schema, and no annotations, the description is too brief to provide complete context. Missing information includes parameter meaning, return values, error conditions, and behavioral specifics beyond 'opens GUI.'

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

Parameters2/5

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

Schema coverage is 45% (below 50%), and the description adds no parameter-level information beyond what the schema provides. Critical details about parameters like safeMode, gretlCliPath, and timeoutSeconds are missing, requiring the agent to rely solely on the schema.

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's purpose: opening a dataset, estimating an OLS model, and opening the workflow in Gretl GUI. This specific verb+resource combination distinguishes it from sibling tools like gretl_run_script or gretl_dataset_summary.

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?

The description mentions 'by default' but does not provide explicit guidance on when to use this tool versus alternatives (e.g., gretl_run_commands). No exclusions or prerequisites are stated, leaving the agent to infer usage context.

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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