Given a bankroll and optional play filter, return stake allocations across recommended bets. Uses fractional Kelly staking: TIER 1 = 2%, TIER 2 = 1% of bankroll. Generic market names (e.g.
AI agents use staking_plan to commit financial operations through PropProfessor MCP — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool calculates and recommends how much money to stake on bets given a bankroll, directly involving financial commitments on gambling/sports betting markets. While it may only return recommendations rather than executing actual wagers, it is fundamentally a financial planning tool that drives betting decisions with real monetary stakes.
From the tool's definition 'return stake allocations across recommended bets', 'fractional Kelly staking: TIER 1 = 2%, TIER 2 = 1% of bankroll'
Attacks that exploit this kind of access
Given a bankroll and optional play filter, return stake allocations across recommended bets. Uses fractional Kelly staking: TIER 1 = 2%, TIER 2 = 1% of bankroll. Generic market names (e.g. It is categorised as a Financial tool in the PropProfessor MCP MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the PropProfessor MCP server in PolicyLayer and add a rule for staking_plan: 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.
staking_plan is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the staking_plan 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 staking_plan. 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.
staking_plan 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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