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Optuna MCP Server

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by optuna

plot_param_importances

Plot parameter importances from an Optuna study to identify influential hyperparameters. Specify target objective and parameters to visualize.

Instructions

Return the parameter importances plot as an image.

    Args:
        params:
            Parameter list to visualize. The default is all parameters.
        target:
            An index to specify the value to display. To plot nth objective value, set this to n.
            Note that this is 0-indexed, i.e., to plot the first objective value, set this to 0.
            By default, all objective will be plotted by setting target to None.
        target_name:
            Target’s name to display on the legend.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo
targetNo
target_nameNoObjective Value
Behavior2/5

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

No annotations provided; description does not disclose return format, side effects, or permissions needed.

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?

Well-structured with clear Args section, but slightly verbose; could be more concise.

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?

Thorough on parameters but lacks output format details; no annotations or output schema to supplement.

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

Parameters5/5

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

Description explains all three parameters in detail, including defaults and indexing behavior, compensating for 0% schema coverage.

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 it returns a parameter importances plot as an image, which is specific and distinct from sibling plot tools like plot_contour or plot_slice.

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 guidance on when to use this tool vs others; lacks context like prerequisites or typical use cases.

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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