Get AI-powered DFS player projections with confidence scores and SHAP explainability. Returns projected fantasy points, floor/ceiling ranges, and factors driving each projection.
AI agents call get_player_projections to retrieve information from SportIntel 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 queries AI-generated analytics (player projections and explanations) without creating, modifying, deleting, or executing any operations. It is informational only. While the broader server context involves financial activity (Daily Fantasy Sports involves money), this specific tool performs only read operations on projection data.
From the tool's definition Tool name is 'get_player_projections' and description states it 'Returns projected fantasy points, floor/ceiling ranges, and factors driving each projection' — purely a data retrieval operation with no side effects.
Attacks that exploit this kind of access
Get AI-powered DFS player projections with confidence scores and SHAP explainability. Returns projected fantasy points, floor/ceiling ranges, and factors driving each projection. It is categorised as a Read tool in the SportIntel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SportIntel MCP Server MCP server in PolicyLayer and add a rule for get_player_projections: 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 SportIntel MCP Server. Nothing to install.
get_player_projections 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_player_projections 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_player_projections. 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_player_projections is provided by the SportIntel MCP Server MCP server (roizenlabs/sportintel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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