List all available training and detection results
AI agents call list_training_results to retrieve information from Ultralytics MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists existing training results without creating, modifying, deleting, executing code, or committing financial actions. It is a standard data retrieval operation with minimal security risk. The low severity reflects that an AI agent misusing this tool would only access information rather than cause harm to systems or data.
From the tool's definition Tool name 'list_training_results' and description 'List all available training and detection results' indicate a query/retrieval operation with no modifications or side effects.
Attacks that exploit this kind of access
List all available training and detection results. It is categorised as a Read tool in the Ultralytics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Ultralytics MCP Server MCP server in PolicyLayer and add a rule for list_training_results: 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 Ultralytics MCP Server. Nothing to install.
list_training_results 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 list_training_results 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 list_training_results. 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.
list_training_results is provided by the Ultralytics MCP Server MCP server (metehanyasar11/ultralytics_mcp_server). 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.
Teams ship this data inside their own products. See what a licence covers →