solve_green_polygon_area_from_image
Compute the area of a green filled polygon in an image by pixel segmentation, calibrating pixel-to-unit scale from nearby purple length labels. Deterministic, no network.
This record as markdown: /tools/io-github-homenshum-nodebench/solve-green-polygon-area-from-image.md
What solve_green_polygon_area_from_image does on Nodebench
AI agents call solve_green_polygon_area_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 solve_green_polygon_area_from_image is rated Low
This tool only reads and analyzes an image to compute a geometric measurement. It performs pixel segmentation and scale calibration locally with no side effects, no data modification, no network calls, and no irreversible actions. Pure read/analysis operation.
From the tool's definition Compute the area of a green filled polygon in an image by pixel segmentation, calibrating pixel-to-unit scale from nearby purple length labels. Deterministic, no network.
Attacks that exploit this kind of access
The rule that runs solve_green_polygon_area_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 solve_green_polygon_area_from_image, this is the rule to start with:
solve_green_polygon_area_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 solve_green_polygon_area_from_image call is checked against it from then on.
Questions about solve_green_polygon_area_from_image
Compute the area of a green filled polygon in an image by pixel segmentation, calibrating pixel-to-unit scale from nearby purple length labels. 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 solve_green_polygon_area_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.
solve_green_polygon_area_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 solve_green_polygon_area_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 solve_green_polygon_area_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.
solve_green_polygon_area_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.
More on Nodebench, and thousands of servers like it.
This server
Across the catalogue