tool_get_student_submission

THE RISK

Low Risk

Why tool_get_student_submission needs a policy

This tool retrieves student submission data without modification, deletion, or execution of code. It is a read-only query operation. The low severity reflects that while the data accessed may be sensitive (student work), the tool itself does not alter state, execute commands, or commit financial transactions. Access is restricted to instructors/TAs, limiting blast radius.

From the tool's definition Tool name 'tool_get_student_submission' and description 'Get a specific student's most recent submission' indicates retrieval of existing submission data.

Documented attack patterns abuse exactly the kind of access tool_get_student_submission gives an agent:

POLICY

How to control tool_get_student_submission

PolicyLayer is an MCP gateway — it sits between your AI agents and Gradescope MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for tool_get_student_submission:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tool_get_student_submission": {}
  }
}

tool_get_student_submission is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Gradescope MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

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FAQ

Questions about tool_get_student_submission

What does the tool_get_student_submission tool do? +

Get a specific student's most recent submission (instructor/TA only). It is categorised as a Read tool in the Gradescope MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tool_get_student_submission? +

Register the Gradescope MCP Server MCP server in PolicyLayer and add a rule for tool_get_student_submission: 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 Gradescope MCP Server. Nothing to install.

What risk level is tool_get_student_submission? +

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

Can I rate-limit tool_get_student_submission? +

Yes. Add a rate_limit block to the tool_get_student_submission 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 tool_get_student_submission completely? +

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

tool_get_student_submission is provided by the Gradescope MCP Server MCP server (yuanpeng-li/gradescope-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gradescope MCP Server tool call.

Start from Gradescope MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →