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.
This record as markdown: /tools/io-github-homenshum-nodebench/extract-fractions-and-simplify-from-image.md
What extract_fractions_and_simplify_from_image does on Nodebench
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.
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 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).
Attacks that exploit this kind of access
The rule that runs extract_fractions_and_simplify_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 extract_fractions_and_simplify_from_image, this is the rule to start with:
extract_fractions_and_simplify_from_image is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every extract_fractions_and_simplify_from_image call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for extract_fractions_and_simplify_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.
extract_fractions_and_simplify_from_image is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the extract_fractions_and_simplify_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.
Set action: deny in the PolicyLayer policy for extract_fractions_and_simplify_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.
extract_fractions_and_simplify_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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