AI agents call get_courses to retrieve information from QMYZ-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool simply fetches and returns a list of courses with their identifiers. It is a read-only query operation that retrieves existing data without side effects, modifications, or triggering any external operations. The low severity reflects minimal risk even if misused by an AI agent—it only exposes course metadata.
From the tool's definition Tool name 'get_courses' and description '获取课程名称与ID' (retrieve course names and IDs) indicate a data retrieval operation with no modification or execution of external actions.
Attacks that exploit this kind of access
获取课程名称与ID. It is categorised as a Read tool in the QMYZ-MCP MCP Server, which means it retrieves data without modifying state.
Register the QMYZ- MCP server in PolicyLayer and add a rule for get_courses: 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 QMYZ-MCP. Nothing to install.
get_courses 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_courses 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_courses. 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_courses is provided by the QMYZ- MCP server (shibig666/qmyz-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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