AI agents call get_all_study_names to retrieve information from Optuna MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that lists or retrieves study names from storage. There are no side effects, no data modification, no code execution, and no destructive operations. The blast radius of misuse is minimal—an agent could only discover study names that already exist. This fits the 'Read' category as defined (retrieves or queries data; no side effects).
From the tool's definition Tool name is 'get_all_study_names' and description states 'Get all study names from the storage.' This is a retrieval operation that queries existing data without modification, deletion, or execution of commands.
Documented attack patterns abuse exactly the kind of access get_all_study_names 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 get_all_study_names:
{
"version": "1",
"default": "deny",
"tools": {
"get_all_study_names": {}
}
}get_all_study_names is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all study names from the storage. It is categorised as a Read tool in the Optuna MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Optuna MCP Server MCP server in PolicyLayer and add a rule for get_all_study_names: 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.
get_all_study_names is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_all_study_names 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 get_all_study_names. 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.
get_all_study_names 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.
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26 Optuna MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.