Create a new Optuna study with the given study_name and directions.
AI agents use create_study to create or update resources in Optuna MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Optuna MCP Server environment.
This tool creates new study metadata in Optuna, which is a write operation that modifies the optimization workspace by adding a new study configuration. It is reversible (the study can be deleted or overwritten) and does not execute arbitrary code, delete data, or move money. The blast radius is limited to the local study namespace.
From the tool's definition Tool description states 'Create a new Optuna study' — a reversible data creation operation. The tool creates a configuration object (study) with parameters study_name and directions, with no permanent side effects or deletion.
Documented attack patterns abuse exactly the kind of access create_study gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Optuna MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_study:
{
"version": "1",
"default": "deny",
"tools": {
"create_study": {
"limits": [
{
"counter": "create_study_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_study stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new Optuna study with the given study_name and directions. It is categorised as a Write tool in the Optuna MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Optuna MCP Server MCP server in PolicyLayer and add a rule for create_study: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Optuna MCP Server. Nothing to install.
create_study is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_study rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_study. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_study is provided by the Optuna MCP Server MCP server (optuna/optuna-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 26 Optuna MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
26 Optuna MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.