ratio_calc
Solve ratio proportions: find missing value in a:b = c:d.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/ratio-calc.md
What ratio_calc does on GadgetHumans API Hub
AI agents invoke ratio_calc to trigger actions in GadgetHumans API Hub. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why ratio_calc is rated High
This tool performs a mathematical computation (solving ratio proportions) rather than simply retrieving stored data. It executes a calculation based on provided inputs. The blast radius is very low since it only returns a computed number with no side effects on external systems.
From the tool's definition Solve ratio proportions: find missing value in a:b = c:d
Attacks that exploit this kind of access
The rule that runs ratio_calc safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ratio_calc, this is the rule to start with:
ratio_calc stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every ratio_calc call is checked against it from then on.
Questions about ratio_calc
Solve ratio proportions: find missing value in a:b = c:d. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for ratio_calc: 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 GadgetHumans API Hub. Nothing to install.
ratio_calc is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ratio_calc 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 ratio_calc. 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.
ratio_calc is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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