AI agents use cc_new_game to create or update resources in Ttt — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ttt environment.
This tool initializes a new game session, creating a new game state. It modifies/creates data (game state) reversibly and is scoped entirely to a game context, making Write the appropriate category. No destructive, financial, or code execution behavior is implied. Severity is low as misuse only affects a trivial game session.
From the tool's definition Begin a new Critter Catch adventure. Places you in Millhaven and introduces the quest.
Attacks that exploit this kind of access
Begin a new Critter Catch adventure. Places you in Millhaven and introduces the quest. It is categorised as a Write tool in the Ttt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ttt MCP server in PolicyLayer and add a rule for cc_new_game: 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 Ttt. Nothing to install.
cc_new_game 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 cc_new_game 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 cc_new_game. 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.
cc_new_game is provided by the Ttt MCP server (srmtech-git/mcparcade). 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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