query_resource_attributes

query_resource_attributes

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

What query_resource_attributes does on Xiaoya Teacher

AI agents call query_resource_attributes 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_resource_attributes needs a policy

Based on the tool name pattern and the server's documented functionality (which includes 'course resource management'), this tool appears to retrieve or query resource metadata without modifying data. The empty description provides no contrary evidence. As a query/retrieval operation with no side effects, it falls under the Read category.

From the tool's definition Tool name 'query_resource_attributes' indicates a query operation for retrieving attributes of resources, consistent with the server's resource management context.

Questions about query_resource_attributes

What does the query_resource_attributes tool do? +

query_resource_attributes. 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_resource_attributes? +

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

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

Can I rate-limit query_resource_attributes? +

Yes. Add a rate_limit block to the query_resource_attributes 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_resource_attributes completely? +

Set action: deny in the PolicyLayer policy for query_resource_attributes. 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_resource_attributes? +

query_resource_attributes 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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