Low Risk

tool_export_assignment_scores

tool_export_assignment_scores

How to control tool_export_assignment_scores ↓

What tool_export_assignment_scores does on Gradescope MCP Server

AI agents call tool_export_assignment_scores to retrieve information from Gradescope MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why tool_export_assignment_scores needs a policy

Based on the name, this tool likely exports/retrieves assignment scores, which is a read operation. The 'export' verb strongly suggests data retrieval rather than modification. However, the empty description lowers confidence. Severity is medium because assignment scores are sensitive academic data that could be misused if exported improperly.

From the tool's definition Tool name: tool_export_assignment_scores — description is empty or uninformative.

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

How to control tool_export_assignment_scores

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_export_assignment_scores:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tool_export_assignment_scores": {}
  }
}

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

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

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Questions about tool_export_assignment_scores

What does the tool_export_assignment_scores tool do? +

tool_export_assignment_scores. 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_export_assignment_scores? +

Register the Gradescope MCP Server MCP server in PolicyLayer and add a rule for tool_export_assignment_scores: 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_export_assignment_scores? +

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

Can I rate-limit tool_export_assignment_scores? +

Yes. Add a rate_limit block to the tool_export_assignment_scores 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_export_assignment_scores completely? +

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

tool_export_assignment_scores 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.

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37 Gradescope MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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