Genetic algorithm for combinatorial / discrete optimization with optional Pareto frontier for multi-objective problems. Use when the search space is discrete or mixed (binary feature selection, integer allocation, permutation problems like TSP), or when you want to explore multiple non-dominated ...
Risk signalsHigh parameter count (12 properties)
Part of the Oraclaw server.
Free to start. No card required.
AI agents invoke optimize_evolve to trigger processes or run actions in Oraclaw. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
optimize_evolve can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"optimize_evolve": {
"limits": [
{
"counter": "optimize_evolve_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Oraclaw policy for all 17 tools.
These attack patterns abuse exactly the kind of access optimize_evolve gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Genetic algorithm for combinatorial / discrete optimization with optional Pareto frontier for multi-objective problems. Use when the search space is discrete or mixed (binary feature selection, integer allocation, permutation problems like TSP), or when you want to explore multiple non-dominated solutions. For continuous black-box parameters, use optimize_cmaes — it converges faster on smooth objectives. Stochastic: same input gives different best chromosome each run. Free.. It is categorised as a Execute tool in the Oraclaw MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Oraclaw MCP server in PolicyLayer and add a rule for optimize_evolve: 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 Oraclaw. Nothing to install.
optimize_evolve 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 optimize_evolve 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 optimize_evolve. 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.
optimize_evolve is provided by the Oraclaw MCP server (@oraclaw/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Oraclaw tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.