query_paper_summary

query_paper_summary

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

What query_paper_summary does on Xiaoya Teacher

AI agents call query_paper_summary 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_paper_summary needs a policy

The 'query_' prefix strongly suggests a read operation that retrieves information without side effects. While the empty description limits confidence, the naming convention and surrounding tools (which include write/execute operations like 'batch_create_questions', 'configure_paper_basics') indicate this is a simple retrieval tool. Low severity is appropriate for a read-only query operation.

From the tool's definition Tool name 'query_paper_summary' uses the verb 'query', which indicates data retrieval. No description is provided to suggest modification or deletion.

Questions about query_paper_summary

What does the query_paper_summary tool do? +

query_paper_summary. 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_paper_summary? +

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

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

Can I rate-limit query_paper_summary? +

Yes. Add a rate_limit block to the query_paper_summary 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_paper_summary completely? +

Set action: deny in the PolicyLayer policy for query_paper_summary. 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_paper_summary? +

query_paper_summary 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.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.