获取一个谜题的完整内容
AI agents call get_puzzle to retrieve information from Haiguitang MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves puzzle data from the server for display or interaction. It has no side effects—it does not create, modify, delete, or execute any operations. It is a straightforward data retrieval operation, fitting the 'Read' category with low risk to the system.
From the tool's definition Tool name 'get_puzzle' and description '获取一个谜题的完整内容' (retrieve/fetch the complete content of a puzzle) indicate a query operation that retrieves data without modifying or deleting anything.
Attacks that exploit this kind of access
获取一个谜题的完整内容. It is categorised as a Read tool in the Haiguitang MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Haiguitang MCP Server MCP server in PolicyLayer and add a rule for get_puzzle: 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 Haiguitang MCP Server. Nothing to install.
get_puzzle 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_puzzle 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_puzzle. 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_puzzle is provided by the Haiguitang MCP Server MCP server (stevenfengli/haiguitangmcp). 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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