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Optuna MCP Server

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by optuna

get_trial_user_attrs

Retrieve user-defined attributes for a specific trial number to analyze trial metadata.

Instructions

Get user attributes in a trial

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trial_numberYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
trial_numberYes
paramsNoThe parameter values suggested by the trial.
valuesNoThe objective values of the trial.
user_attrsNoUser-defined attributes for the trial.
system_attrsNoSystem-defined attributes for the trial.
Behavior1/5

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

No annotations are provided, and the description adds no behavioral context beyond the bare action. It does not disclose error handling, side effects, or dependencies (e.g., what happens if trial_number is invalid).

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

Conciseness2/5

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

While extremely concise (4 words), the description is under-specified and fails to provide valuable details that would justify its brevity. It is not well-structured and does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, low schema coverage, and the existence of an output schema, the description should provide more context about what user attributes are, but it does not. The tool's purpose remains vague.

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

Parameters1/5

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

The single parameter trial_number has no description in the schema (0% coverage). The description does not explain its meaning, format, or constraints, forcing the agent to infer from the name alone.

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

Purpose4/5

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

The description clearly states the action (get) and resource (user attributes in a trial), distinguishing it from sibling tools like set_trial_user_attr. However, it lacks specificity about the context (e.g., Optuna) and what user attributes are involved.

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 alternatives such as set_trial_user_attr or get_trials. The description does not mention prerequisites, limitations, or appropriate contexts.

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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