Get model training metrics (mAP, precision, recall) for a trained version.
AI agents call get_model_metrics to retrieve information from Roboflow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that queries and retrieves training metrics (mAP, precision, recall) for an already-trained model version. It has no side effects, does not modify data, execute code, delete resources, or commit financial obligations. The blast radius of misuse is minimal since it only exposes already-computed performance statistics.
From the tool's definition Tool name 'get_model_metrics' and description 'Get model training metrics (mAP, precision, recall) for a trained version' indicates retrieval of performance metrics with no modification or deletion of data.
Attacks that exploit this kind of access
Get model training metrics (mAP, precision, recall) for a trained version. It is categorised as a Read tool in the Roboflow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Roboflow MCP Server MCP server in PolicyLayer and add a rule for get_model_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 Roboflow MCP Server. Nothing to install.
get_model_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_model_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_model_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_model_metrics is provided by the Roboflow MCP Server MCP server (nickedridge-wq/roboflow-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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