tool_get_assignment_statistics

THE RISK

Low Risk

Why tool_get_assignment_statistics needs a policy

The tool name structure (get_*) and the word 'statistics' suggest this retrieves pre-computed or aggregated assignment data without modifying it. While the empty description reduces certainty, the naming convention and context within a grading/course management system indicate a query operation. This poses low risk as it retrieves data without side effects.

From the tool's definition Tool name is 'tool_get_assignment_statistics' which indicates retrieval of statistical data. No description provided, but the name suggests querying/fetching aggregate data about assignments (statistics), which is consistent with Read operations like 'get'…

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

POLICY

How to control tool_get_assignment_statistics

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_assignment_statistics:

policy.json

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

tool_get_assignment_statistics 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.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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Rate Limiting MCP Tool Calls: A Practical Guide →
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FAQ

Questions about tool_get_assignment_statistics

What does the tool_get_assignment_statistics tool do? +

tool_get_assignment_statistics. 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_assignment_statistics? +

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

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

Can I rate-limit tool_get_assignment_statistics? +

Yes. Add a rate_limit block to the tool_get_assignment_statistics 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_assignment_statistics completely? +

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

tool_get_assignment_statistics 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 →