query_preview_student_paper

query_preview_student_paper

Server Xiaoya Teacher sav1our520/xiaoya-teacher-mcp-server
Category Read
Risk class Low
Parameters 00 required

What query_preview_student_paper does on Xiaoya Teacher

AI agents call query_preview_student_paper to retrieve information from Xiaoya Teacher without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why query_preview_student_paper needs a policy

Despite the empty description lowering confidence slightly, the tool name itself strongly indicates a read operation that queries and previews student paper data without side effects. It fits the 'Read' category: retrieves or queries data; no side effects. The context of an education management platform further supports this interpretation as previewing student papers is a common read-only teacher function.

From the tool's definition Tool name 'query_preview_student_paper' indicates a query/retrieval operation with 'query' and 'preview' verbs, which are read-only operations on student paper data.

Questions about query_preview_student_paper

What does the query_preview_student_paper tool do? +

query_preview_student_paper. It is categorised as a Read tool in the Xiaoya Teacher MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_preview_student_paper? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for query_preview_student_paper: 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 Xiaoya Teacher. Nothing to install.

What risk level is query_preview_student_paper? +

query_preview_student_paper is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit query_preview_student_paper? +

Yes. Add a rate_limit block to the query_preview_student_paper 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.

How do I block query_preview_student_paper completely? +

Set action: deny in the PolicyLayer policy for query_preview_student_paper. 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.

What MCP server provides query_preview_student_paper? +

query_preview_student_paper is provided by the Xiaoya Teacher MCP server (sav1our520/xiaoya-teacher-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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