Divides the first number by the second number.
AI agents invoke Division to trigger actions in Mcp Examples. 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.
This tool performs a mathematical division operation. It executes a computation on provided inputs. Division by zero could cause errors but has no meaningful blast radius beyond the computation itself. Classified as Execute since it performs an operation, though severity is low as it has no side effects beyond the calculation result.
From the tool's definition Divides the first number by the second number.
Attacks that exploit this kind of access
Divides the first number by the second number. It is categorised as a Execute tool in the Mcp Examples MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Examples MCP server in PolicyLayer and add a rule for Division: 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 Mcp Examples. Nothing to install.
Division 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 Division 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 Division. 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.
Division is provided by the Mcp Examples MCP server (psyll0n/mcp-examples). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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