Who bowls the most dot balls / fewest wides / least boundaries? Discipline metrics: dot ball %, wide/no-ball rates, extras per over, boundary % allowed (bowling); dot ball % faced, boundary % (batting).
AI agents call get_discipline_stats to retrieve information from Cricket without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a DuckDB database to retrieve and analyze cricket discipline metrics (dot ball percentages, wide/no-ball rates, etc.). It is a read-only operation that retrieves statistics with no side effects. Even if an AI agent misuses it, the worst outcome is returning inaccurate or irrelevant cricket analytics, which poses minimal risk.
From the tool's definition Tool name 'get_discipline_stats' and description indicate retrieval of cricket statistics ('Who bowls the most dot balls / fewest wides / least boundaries? Discipline metrics: dot ball %, wide/no-ball rates, extras per over, boundary % allowed').
Attacks that exploit this kind of access
Who bowls the most dot balls / fewest wides / least boundaries? Discipline metrics: dot ball %, wide/no-ball rates, extras per over, boundary % allowed (bowling); dot ball % faced, boundary % (batting). It is categorised as a Read tool in the Cricket MCP Server, which means it retrieves data without modifying state.
Register the Cricket MCP server in PolicyLayer and add a rule for get_discipline_stats: 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 Cricket. Nothing to install.
get_discipline_stats 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 get_discipline_stats 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 get_discipline_stats. 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.
get_discipline_stats is provided by the Cricket MCP server (mavaali/cricket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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