Low Risk

list_tensorboard_experiments_tool

List available TensorBoard experiments from past training runs.

How to control list_tensorboard_experiments_tool ↓

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

Low Risk

Even though list_tensorboard_experiments_tool only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Documented attack patterns abuse exactly the kind of access list_tensorboard_experiments_tool gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Qiskit IBM Runtime MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_tensorboard_experiments_tool:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_tensorboard_experiments_tool": {}
  }
}

list_tensorboard_experiments_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Qiskit IBM Runtime MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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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 IBM Runtime 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 IBM Runtime 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 IBM Runtime 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 IBM Runtime MCP Server MCP server (qiskit-ibm-runtime-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Qiskit IBM Runtime MCP Server tool call.

Deterministic rules across all 71 Qiskit IBM Runtime MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

71 Qiskit IBM Runtime MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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