Record the outcome of one rally and return the updated score call.
AI agents use pickleball_record_rally to create or update resources in CourtVision Rules MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CourtVision Rules MCP environment.
This tool writes rally outcome data to match state and returns an updated score. It is reversible (the sibling tool 'pickleball_undo' exists), modifies data in a scoring system with no real-world financial or destructive consequences, and has minimal blast radius confined to a pickleball match tracking context.
From the tool's definition 'Record the outcome of one rally and return the updated score call' — creates/modifies match state by recording a rally result
Attacks that exploit this kind of access
Record the outcome of one rally and return the updated score call. It is categorised as a Write tool in the CourtVision Rules MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CourtVision Rules MCP server in PolicyLayer and add a rule for pickleball_record_rally: 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 CourtVision Rules MCP. Nothing to install.
pickleball_record_rally 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 pickleball_record_rally 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 pickleball_record_rally. 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.
pickleball_record_rally is provided by the CourtVision Rules MCP server (whitgai/courtvision-rules-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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