Parse a natural language betting query into structured components (league, book, market, side, line, player) and suggest the best tool to call. Works as a query router — agents call this first, then call the suggested tool immediately. Routes to the right tool: book queries → quick_screen, player...
AI agents call ask 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.
This tool only analyzes and routes user queries; it performs no side effects, data retrieval, modification, execution, or financial operations. It is purely informational and acts as a dispatcher. The severity is low because misuse would only result in incorrect routing suggestions, not unauthorized data access or harmful actions.
From the tool's definition Tool is described as a query router that 'Parse[s] a natural language betting query into structured components' and 'suggest[s] the best tool to call.' It does not execute queries itself, merely parses input and suggests routing decisions.
Attacks that exploit this kind of access
Parse a natural language betting query into structured components (league, book, market, side, line, player) and suggest the best tool to call. Works as a query router — agents call this first, then call the suggested tool immediately. Routes to the right tool: book queries → quick_screen, player queries → player_context, validation queries (. 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 ask: 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.
ask 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 ask 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 ask. 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.
ask 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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