Get per-class performance metrics for a specific training run. Useful for analyzing individual class performance like
AI agents call get_class_metrics 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 returns metrics data from a completed training run. It performs no write operations, does not execute code or external operations, and does not delete or modify data. The 'Get' prefix and description emphasizing data retrieval confirm this is a Read-category tool with low severity, as misuse would only expose training performance information rather than causing system damage or data loss.
From the tool's definition Tool name 'get_class_metrics' and description 'Get per-class performance metrics for a specific training run' indicate a retrieval operation that queries and returns performance data without modifying, executing external operations, or affecting system state.
Attacks that exploit this kind of access
Get per-class performance metrics for a specific training run. Useful for analyzing individual class performance like. 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 get_class_metrics: 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.
get_class_metrics 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_class_metrics 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_class_metrics. 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_class_metrics 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.
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