AI agents invoke solve_ortools_problem to trigger actions in USolver. 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.
Based on the server description and sibling tools, this tool executes optimization or constraint-solving operations using OR-Tools. Executing arbitrary solver problems (potentially with large resource consumption or complex constraint logic) is classified as Execute. Empty description lowers confidence, but the naming pattern is consistent with other sibling tools that run solvers.
From the tool's definition Tool name 'solve_ortools_problem' and server context describing calls to dedicated solvers (ortools). Description is empty/uninformative.
Documented attack patterns abuse exactly the kind of access solve_ortools_problem gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and USolver, and nothing reaches the server without passing your rules. This is the rule we recommend for solve_ortools_problem:
{
"version": "1",
"default": "deny",
"tools": {
"solve_ortools_problem": {
"limits": [
{
"counter": "solve_ortools_problem_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}solve_ortools_problem 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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solve_ortools_problem. It is categorised as a Execute tool in the USolver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the USolver MCP server in PolicyLayer and add a rule for solve_ortools_problem: 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 USolver. Nothing to install.
solve_ortools_problem 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 solve_ortools_problem 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_ortools_problem. 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_ortools_problem is provided by the USolver MCP server (sdiehl/usolver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 10 USolver tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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10 USolver tools catalogued and risk-classified — across an index of 42,500+ MCP servers.