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gretl_gui_launch

Launch the Gretl desktop GUI to open datasets or run scripts for econometric analysis and visualization.

Instructions

Launch the visible Gretl desktop GUI, optionally opening a local dataset/script or running a provided script on startup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scriptNoOptional Gretl/Hansl script to write and open with --run in the GUI.
englishNoForce Gretl GUI to use English.
filePathNoOptional local dataset or script file to open in the Gretl GUI.
safeModeNoWhen script is provided, block shell-like commands and absolute file reads/writes.
runScriptNoWhen filePath points to a script, launch Gretl with --run filePath.
newInstanceNoLaunch a new Gretl GUI instance instead of reusing an existing one.
gretlGuiPathNoOptional explicit path to gretl or gretl.exe.
workspaceRootNoOptional directory where GUI script workspaces are created.
Behavior2/5

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

With no annotations, the description carries full behavioral burden. It lacks details on mutability, system requirements, blocking behavior, or side effects. Parameters like safeMode and newInstance hint at behaviors but are 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence (20 words) that front-loads the core purpose. There is no redundancy or unnecessary information.

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 8 optional parameters and no output schema, the description only hints at file/script usage. It does not explain parameter interactions, prerequisites, or return values, leaving gaps for an agent to infer correct invocation.

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%, so baseline is 3. The description adds minor context ('optionally opening... or running a provided script') that maps to script and filePath, but does not significantly enhance meaning beyond 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 launches the Gretl GUI, with optional opening of a dataset/script or running a script on startup. This specific verb+resource distinguishes it from siblings like gretl_run_script (headless) and gretl_gui_version (version check).

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 implies usage for launching the GUI, but does not explicitly compare to sibling tools like gretl_run_script or specify when not to use it. No alternatives are mentioned, so guidance is minimal.

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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