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Optuna MCP Server

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by optuna

get_directions

Retrieve the optimization directions of an Optuna study to understand its search trajectory and guide further hyperparameter tuning.

Instructions

Get the directions of the study.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
study_nameYes
sampler_nameNoThe name of the sampler used in the study.
directionsNoThe optimization directions for each objective.
metric_namesNoThe metric names for each objective.
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether this is a read operation or what side effects exist. The word 'Get' implies a safe read, but no further details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is very concise (one sentence), which is appropriately front-loaded, but it lacks detail that could be added without much verbosity.

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?

Given that an output schema exists, the description should explain what 'directions' means and what the return value contains, but it does not. The tool performs a simple get but leaves ambiguity.

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

Parameters4/5

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

The input schema has zero parameters, so schema coverage is 100%. The description adds no parameter information, but with no parameters, the baseline is 4. It does not need to elaborate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb 'Get' and resource 'directions of the study', but 'directions' is ambiguous in the context of an optimization study. It does not clearly differentiate from siblings like get_trials or get_metric_names.

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 versus alternatives like get_trials or plot tools. No exclusions or context provided.

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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