Get details and logs for a specific training job.
AI agents call get_training_job 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.
This tool retrieves information (details and logs) about an existing training job. It performs a read-only query with no side effects, no code execution, and no data modification. The action is informational only, consistent with the Read category.
From the tool's definition Tool name 'get_training_job' and description 'Get details and logs for a specific training job' indicate a retrieval operation with no modification or execution of jobs.
Attacks that exploit this kind of access
Get details and logs for a specific training job. It is categorised as a Read tool in the NeuronSearchLab MCP Server, which means it retrieves data without modifying state.
Register the NeuronSearchLab MCP server in PolicyLayer and add a rule for get_training_job: 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.
get_training_job 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_training_job 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_training_job. 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_training_job 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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