grade_student_question
AI agents use grade_student_question to create or update resources in Xiaoya Teacher — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Xiaoya Teacher environment.
Grading student questions creates or updates assessment records that reflect student performance. While this is a normal educational operation, it modifies persistent data that affects student records and outcomes. This qualifies as Write (not Execute, as grading follows a defined workflow) with medium severity due to potential for misuse causing unfair grade assignments.
From the tool's definition Tool name 'grade_student_question' indicates modifying/recording student assessment data. Server description mentions '批阅' (grading/marking) as a core function. The tool performs irreversible modification of student grades/records.
Attacks that exploit this kind of access
grade_student_question. It is categorised as a Write tool in the Xiaoya Teacher MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for grade_student_question: 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.
grade_student_question is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the grade_student_question 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 grade_student_question. 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.
grade_student_question 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.
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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