solve_red_green_deviation_average_from_image
Extract red and green numbers from an image, compute population stdev(red) and sample stdev(green), then return their average. Deterministic, no network.
This record as markdown: /tools/io-github-homenshum-nodebench/solve-red-green-deviation-average-from-image.md
What solve_red_green_deviation_average_from_image does on Nodebench
AI agents call solve_red_green_deviation_average_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_red_green_deviation_average_from_image is rated Low
This tool retrieves/extracts information (red and green numbers) from an image and performs statistical analysis on that data. The operations are purely computational with no side effects, no external state changes, and no destructive or financial implications. It fits the 'Read' category as it queries/extracts data and performs analysis without modifying anything.
From the tool's definition Tool extracts data from an image and performs deterministic mathematical computations (stdev calculations and averaging). Description explicitly states 'no network' and computation-only behavior.
Attacks that exploit this kind of access
The rule that runs solve_red_green_deviation_average_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_red_green_deviation_average_from_image, this is the rule to start with:
solve_red_green_deviation_average_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_red_green_deviation_average_from_image call is checked against it from then on.
Questions about solve_red_green_deviation_average_from_image
Extract red and green numbers from an image, compute population stdev(red) and sample stdev(green), then return their average. 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_red_green_deviation_average_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_red_green_deviation_average_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_red_green_deviation_average_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_red_green_deviation_average_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_red_green_deviation_average_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