resolve_pick

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

Server PropProfessor MCP j17drake/propprofessor-mcp
Category Write
Risk class Medium
Parameters 00 required

What resolve_pick does on PropProfessor MCP

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.

Why resolve_pick needs a policy

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.

Questions about resolve_pick

What does the resolve_pick tool do? +

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.

How do I enforce a policy on resolve_pick? +

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.

What risk level is resolve_pick? +

resolve_pick is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit resolve_pick? +

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.

How do I block resolve_pick completely? +

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.

What MCP server provides resolve_pick? +

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.

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