query_course_resources

query_course_resources

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

What query_course_resources does on Xiaoya Teacher

AI agents call query_course_resources 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_course_resources needs a policy

The tool name clearly contains the verb 'query', which is a non-mutating data retrieval operation. In the context of a teacher management platform, querying course resources would retrieve or list existing resources without modification. Despite the empty description limiting confidence slightly, the naming convention and sibling tools support classification as a Read operation with low severity.

From the tool's definition Tool name 'query_course_resources' indicates a query operation; sibling context includes other read operations like 'auth_status' and write operations like 'batch_create_questions' and 'configure_paper_basics', suggesting this follows a read pattern.

Questions about query_course_resources

What does the query_course_resources tool do? +

query_course_resources. 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_course_resources? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for query_course_resources: 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_course_resources? +

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

Can I rate-limit query_course_resources? +

Yes. Add a rate_limit block to the query_course_resources 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_course_resources completely? +

Set action: deny in the PolicyLayer policy for query_course_resources. 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_course_resources? +

query_course_resources 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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