list_training_jobs

List recent model training jobs with their status (running, completed, failed). Training jobs re-train the ranking model on new interaction data.

Server NeuronSearchLab neuronsearchlab/mcp
Category Read
Risk class Low
Parameters 00 required

What list_training_jobs does on NeuronSearchLab

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

Why list_training_jobs needs a policy

This tool retrieves and displays information about existing training jobs and their states. It does not create, modify, delete, or execute any operations—it only reads and reports data. The blast radius of misuse is minimal, as an AI agent cannot cause harm by listing training job statuses.

From the tool's definition Tool name is 'list_training_jobs' and description states it 'List[s] recent model training jobs with their status'. The verb 'list' and action of retrieving status information are query operations with no side effects.

Questions about list_training_jobs

What does the list_training_jobs tool do? +

List recent model training jobs with their status (running, completed, failed). Training jobs re-train the ranking model on new interaction data. It is categorised as a Read tool in the NeuronSearchLab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_training_jobs? +

Register the NeuronSearchLab MCP server in PolicyLayer and add a rule for list_training_jobs: 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 NeuronSearchLab. Nothing to install.

What risk level is list_training_jobs? +

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

Can I rate-limit list_training_jobs? +

Yes. Add a rate_limit block to the list_training_jobs 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_training_jobs completely? +

Set action: deny in the PolicyLayer policy for list_training_jobs. 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_training_jobs? +

list_training_jobs is provided by the NeuronSearchLab MCP server (neuronsearchlab/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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