AI agents invoke subtract to trigger actions in Study. 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.
The tool executes a mathematical operation (subtraction) on two numbers. While it has no side effects and is essentially a read/compute operation, it does perform computation rather than simply retrieving stored data. Given the server context (math tools: add, subtract, multiply, divide), this is a pure arithmetic tool with minimal risk. Severity is low as misuse has essentially no blast radius.
From the tool's definition 'Subtract two numbers' — performs a arithmetic computation
Attacks that exploit this kind of access
Subtract two numbers. It is categorised as a Execute tool in the Study MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Study MCP server in PolicyLayer and add a rule for subtract: 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 Study. Nothing to install.
subtract 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 subtract 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 subtract. 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.
subtract is provided by the Study MCP server (lucs1590/study-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →