Mark a logged pick as won, lost, or push after the game ends. Updates your personal betting record for accurate stats. Call ONCE PER PICK after the underlying game finishes, before fetching updated stats via
AI agents use resolve_pick to create or update resources in PropProfessor MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your PropProfessor MCP environment.
This tool modifies data (a betting record) reversibly by updating pick outcomes. It does not delete data (Destructive), execute arbitrary code (Execute), or move money (Financial). The modification is intentional and part of normal workflow for maintaining betting statistics.
From the tool's definition Mark a logged pick as won, lost, or push after the game ends. Updates your personal betting record for accurate stats.
Attacks that exploit this kind of access
Mark a logged pick as won, lost, or push after the game ends. Updates your personal betting record for accurate stats. Call ONCE PER PICK after the underlying game finishes, before fetching updated stats via. It is categorised as a Write tool in the PropProfessor MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the PropProfessor MCP server in PolicyLayer and add a rule for resolve_pick: 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.
resolve_pick is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the resolve_pick 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 resolve_pick. 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.
resolve_pick 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.
Teams ship this data inside their own products. See what a licence covers →