Get ML-powered attrition risk predictions with confidence scores (0-1). Returns employees at risk of leaving with risk factors and confidence levels. Uses cached insights by default for speed, set fresh=true for real-time analysis.
AI agents call modus_get_attrition_risks to retrieve information from Modus 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 data retrieval tool that queries predictive analytics about employee attrition risks. It has no side effects—it only fetches and returns insights. The `fresh=true` parameter controls caching strategy but does not alter data.
From the tool's definition Tool retrieves and queries attrition risk predictions with confidence scores; described as 'Get ML-powered attrition risk predictions' and 'Returns employees at risk'. No modification, deletion, execution, or financial operations are performed.
Attacks that exploit this kind of access
Get ML-powered attrition risk predictions with confidence scores (0-1). Returns employees at risk of leaving with risk factors and confidence levels. Uses cached insights by default for speed, set fresh=true for real-time analysis. It is categorised as a Read tool in the Modus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Modus MCP Server MCP server in PolicyLayer and add a rule for modus_get_attrition_risks: 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 Modus MCP Server. Nothing to install.
modus_get_attrition_risks 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 modus_get_attrition_risks 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 modus_get_attrition_risks. 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.
modus_get_attrition_risks is provided by the Modus MCP Server MCP server (mod-us/modus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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