# extract_fractions_and_simplify_from_image

Extract slash-style fractions (e.g. 3/4) from body text in an image and also detect stacked numerator/denominator fractions in a worksheet-style region, returning the simplified answers. Deterministic, no network.

Agent View of the PolicyLayer registry record for `extract_fractions_and_simplify_from_image`. HTML page: https://policylayer.com/tools/io-github-homenshum-nodebench/extract-fractions-and-simplify-from-image

## Facts

- Tool: `extract_fractions_and_simplify_from_image`
- Server: Nodebench (`nodebench-mcp`) — https://policylayer.com/tools/io-github-homenshum-nodebench.md
- Install: `npx -y nodebench-mcp`
- Homepage: https://github.com/HomenShum/nodebench-ai
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "extract_fractions_and_simplify_from_image",
    "arguments": {}
  }
}
```

## Why extract_fractions_and_simplify_from_image is rated Low

This tool reads data (fractions) from an image, performs deterministic mathematical simplification, and returns results without side effects, network access, or capability to modify external state. It is a pure read operation with local computation.

From the tool's own definition: "Tool 'extract_fractions_and_simplify_from_image' extracts and detects fractions from image content, then performs calculation. Description states 'Deterministic, no network' and focuses on extraction and simplification (read/compute operations)."

## Use case

AI agents call extract_fractions_and_simplify_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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Nodebench:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "extract_fractions_and_simplify_from_image": {}
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-homenshum-nodebench · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-homenshum-nodebench