AI agents call get_remaining_time to retrieve information from Gomoku without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves timing information about a game in progress. It performs a read-only query with no side effects, no data modification, no code execution, and no financial impact. The lowest severity is appropriate since misuse would only expose non-sensitive game timing data.
From the tool's definition Tool name 'get_remaining_time' and description '获取当前玩家剩余下棋时间' (get current player's remaining move time) indicate a query operation that retrieves time information without modifying state or triggering external operations.
Attacks that exploit this kind of access
获取当前玩家剩余下棋时间. It is categorised as a Read tool in the Gomoku MCP Server, which means it retrieves data without modifying state.
Register the Gomoku MCP server in PolicyLayer and add a rule for get_remaining_time: 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 Gomoku. Nothing to install.
get_remaining_time 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_remaining_time 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_remaining_time. 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_remaining_time is provided by the Gomoku MCP server (sanshao85/gomoku-ai-battle). 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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