list_tensorboard_experiments_tool

List available TensorBoard experiments from past training runs.

Server Qiskit Documentation MCP Server pypi:qiskit-mcp-server
Category Read
Risk class Low
Parameters 00 required

What list_tensorboard_experiments_tool does on Qiskit Documentation MCP Server

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

Why list_tensorboard_experiments_tool needs a policy

This tool retrieves and displays metadata about past TensorBoard experiments. It performs a query operation that has no capability to modify, delete, or execute operations. The blast radius of misuse is minimal—an AI agent could only view information about completed training runs, not alter them or trigger new operations.

From the tool's definition Tool description states it 'List[s] available TensorBoard experiments from past training runs.' The verb 'list' and the read-only nature of querying past experimental metadata indicates data retrieval with no side effects.

Questions about list_tensorboard_experiments_tool

What does the list_tensorboard_experiments_tool tool do? +

List available TensorBoard experiments from past training runs. It is categorised as a Read tool in the Qiskit Documentation MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_tensorboard_experiments_tool? +

Register the Qiskit Documentation MCP Server MCP server in PolicyLayer and add a rule for list_tensorboard_experiments_tool: 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 Qiskit Documentation MCP Server. Nothing to install.

What risk level is list_tensorboard_experiments_tool? +

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

Can I rate-limit list_tensorboard_experiments_tool? +

Yes. Add a rate_limit block to the list_tensorboard_experiments_tool 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_tensorboard_experiments_tool completely? +

Set action: deny in the PolicyLayer policy for list_tensorboard_experiments_tool. 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_tensorboard_experiments_tool? +

list_tensorboard_experiments_tool is provided by the Qiskit Documentation MCP Server MCP server (pypi:qiskit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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