AI agents invoke solve_ortools_problem_tool 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 sibling tools and server description, this tool likely executes optimization or constraint-solving computations using OR-Tools. Execute is the most appropriate category as it runs a solver engine with user-supplied problem definitions. Empty description reduces confidence, but naming pattern and server context strongly suggest code/solver execution.
From the tool's definition Tool name 'solve_ortools_problem_tool' references OR-Tools, a combinatorial optimization/constraint programming solver. Description is empty, lowering confidence.
Documented attack patterns abuse exactly the kind of access solve_ortools_problem_tool 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_tool:
{
"version": "1",
"default": "deny",
"tools": {
"solve_ortools_problem_tool": {
"limits": [
{
"counter": "solve_ortools_problem_tool_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}solve_ortools_problem_tool 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_tool. 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_tool: 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_tool 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_tool 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_tool. 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_tool 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.