Query the Fantasy Optimizer for DFS-style player picks across fantasy apps (PrizePicks, Underdog, etc.). Returns fantasy plays with projected values, odds, and risk metrics. Requires a paid PropProfessor subscription with Fantasy Optimizer access.
AI agents call fantasy_optimizer 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.
The fantasy_optimizer tool performs a read-only query operation that retrieves existing data (fantasy plays, odds, risk metrics) from the Fantasy Optimizer service. It does not create, modify, delete, or execute code. The requirement for a paid subscription is a feature flag, not a security concern.
From the tool's definition Tool description states it 'Query[s]' and 'Returns fantasy plays with projected values, odds, and risk metrics' — retrieval and query operations only.
Attacks that exploit this kind of access
Query the Fantasy Optimizer for DFS-style player picks across fantasy apps (PrizePicks, Underdog, etc.). Returns fantasy plays with projected values, odds, and risk metrics. Requires a paid PropProfessor subscription with Fantasy Optimizer access. 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 fantasy_optimizer: 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.
fantasy_optimizer 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 fantasy_optimizer 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 fantasy_optimizer. 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.
fantasy_optimizer 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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