AI agents invoke evaluate_math to trigger actions in IT Tools MCP Server. 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 evaluates (executes) mathematical expressions at runtime. While described as 'safe', expression evaluation is still an execution operation. Misuse could potentially allow injection of complex or resource-intensive expressions, though the 'safely' qualifier suggests sandboxing, keeping severity at medium rather than high.
From the tool's definition 'evaluate' in the tool name and 'evaluate mathematical expressions' in the description — the tool executes/runs expressions
Documented attack patterns abuse exactly the kind of access evaluate_math gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and IT Tools MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for evaluate_math:
{
"version": "1",
"default": "deny",
"tools": {
"evaluate_math": {
"limits": [
{
"counter": "evaluate_math_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} evaluate_math 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.
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Safely evaluate mathematical expressions. It is categorised as a Execute tool in the IT Tools MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the IT Tools MCP Server MCP server in PolicyLayer and add a rule for evaluate_math: 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 IT Tools MCP Server. Nothing to install.
evaluate_math 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 evaluate_math 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 evaluate_math. 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.
evaluate_math is provided by the IT Tools MCP Server MCP server (wrenchpilot/it-tools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from IT Tools MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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119 IT Tools MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.