grade_fraction_quiz_from_image

Grade a fraction quiz shown in an image by OCRing the problems + student answers, computing correct answers, and scoring by problem type. Deterministic, no network.

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/grade-fraction-quiz-from-image.md

WHAT IT DOES

What grade_fraction_quiz_from_image does on Nodebench

AI agents call grade_fraction_quiz_from_image to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why grade_fraction_quiz_from_image is rated Low

This tool retrieves and analyzes information from an image (via OCR), performs calculations, and returns a result. It has no side effects—it does not create, modify, or delete any persistent data. The output is a computed grade based on input image analysis, making it a Read operation with minimal security risk even if misused by an AI agent.

From the tool's definition The tool 'grades a fraction quiz shown in an image by OCRing the problems + student answers, computing correct answers, and scoring by problem type.' It performs OCR (optical character recognition) and computation on provided image data to produce a score,…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs grade_fraction_quiz_from_image safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For grade_fraction_quiz_from_image, this is the rule to start with:

grade_fraction_quiz_from_image Allowed

grade_fraction_quiz_from_image is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every grade_fraction_quiz_from_image call is checked against it from then on.

FAQ

Questions about grade_fraction_quiz_from_image

What does the grade_fraction_quiz_from_image tool do? +

Grade a fraction quiz shown in an image by OCRing the problems + student answers, computing correct answers, and scoring by problem type. Deterministic, no network. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on grade_fraction_quiz_from_image? +

Register the Nodebench MCP server in PolicyLayer and add a rule for grade_fraction_quiz_from_image: 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 Nodebench. Nothing to install.

What risk level is grade_fraction_quiz_from_image? +

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

Can I rate-limit grade_fraction_quiz_from_image? +

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

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

grade_fraction_quiz_from_image is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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