Check for new sharp line movements, steam moves, and significant odds changes since you last checked. Uses the multi-window sharp consensus engine to detect fresh movement signals across all requested leagues.
AI agents call get_alerts to retrieve information from PropProfessor MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about betting market movements and trends. It performs only read-only operations—checking for and reporting on existing market data without creating, modifying, executing code, deleting data, or moving money.
From the tool's definition The tool 'get_alerts' retrieves alerts about 'sharp line movements, steam moves, and significant odds changes' using a 'multi-window sharp consensus engine to detect fresh movement signals.' The verbs 'check' and 'detect' indicate data retrieval and analysis…
Attacks that exploit this kind of access
Check for new sharp line movements, steam moves, and significant odds changes since you last checked. Uses the multi-window sharp consensus engine to detect fresh movement signals across all requested leagues. It is categorised as a Read tool in the PropProfessor MCP MCP Server, which means it retrieves data without modifying state.
Register the PropProfessor MCP server in PolicyLayer and add a rule for get_alerts: 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 PropProfessor MCP. Nothing to install.
get_alerts 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_alerts 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_alerts. 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_alerts is provided by the PropProfessor MCP server (j17drake/propprofessor-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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