AI agents call search_music_pro to retrieve information from Xiaozhi without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a music database and returns results based on search keywords. It performs no data modification, deletion, code execution, or financial operations. It is a straightforward read operation that retrieves and displays information.
From the tool's definition Tool description states '搜索音乐。根据关键词搜索歌曲，返回歌曲列表' (Search music. Search songs based on keywords, return song list). The verb '搜索' (search) and '返回' (return) indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
搜索音乐。根据关键词搜索歌曲，返回歌曲列表。. It is categorised as a Read tool in the Xiaozhi MCP Server, which means it retrieves data without modifying state.
Register the Xiaozhi MCP server in PolicyLayer and add a rule for search_music_pro: 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 Xiaozhi. Nothing to install.
search_music_pro 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 search_music_pro 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 search_music_pro. 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.
search_music_pro is provided by the Xiaozhi MCP server (zhouhaojiang/xiaozhi-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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