AI agents use cc_recall 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 modifies game state by adding a previously retired creature back to the player's party. It's a reversible write operation within a game context (creatures can presumably be retired again). The restriction 'Only available in Millhaven' suggests a location-gated state change. Severity is low as it only affects in-game state with no real-world consequences.
From the tool's definition Invite a retired creature back into your party
Attacks that exploit this kind of access
Invite a retired creature back into your party. Only available in Millhaven. 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_recall: 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_recall 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_recall 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_recall. 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_recall 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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