list_experiments

List all experiments

Server MCP DS Toolkit Server yasserelhaddar/mcp-ds-toolkit-server
Category Read
Risk class Low
Parameters 00 required

What list_experiments does on MCP DS Toolkit Server

AI agents call list_experiments to retrieve information from MCP DS Toolkit Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why list_experiments needs a policy

This tool retrieves and displays existing experiment metadata without creating, modifying, deleting, or executing any operations. It is a straightforward informational read with minimal blast radius—misuse would only expose experiment information the user likely already has context for.

From the tool's definition Tool name 'list_experiments' and description 'List all experiments' indicate a query/retrieval operation with no modification or side effects.

Questions about list_experiments

What does the list_experiments tool do? +

List all experiments. It is categorised as a Read tool in the MCP DS Toolkit Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_experiments? +

Register the MCP DS Toolkit Server MCP server in PolicyLayer and add a rule for list_experiments: 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 MCP DS Toolkit Server. Nothing to install.

What risk level is list_experiments? +

list_experiments is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_experiments? +

Yes. Add a rate_limit block to the list_experiments 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.

How do I block list_experiments completely? +

Set action: deny in the PolicyLayer policy for list_experiments. 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.

What MCP server provides list_experiments? +

list_experiments is provided by the MCP DS Toolkit Server MCP server (yasserelhaddar/mcp-ds-toolkit-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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