Walk-Forward Validated Strategy Allocation: Returns Einstein's recommended numeric parameter overrides for live strategies, gated by recent walk-forward validation. For each strategy with a passing snapshot (≤7d age, ≥0.7 stability, ≥0.8 OOS Sortino, ≥16 trials), returns the best-performing param...
Part of the Agent Einstein — Autonomous Crypto Intelligence server.
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AI agents invoke strategy_allocation_recommendation to trigger processes or run actions in Agent Einstein — Autonomous Crypto Intelligence. 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.
strategy_allocation_recommendation 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": {
"strategy_allocation_recommendation": {
"limits": [
{
"counter": "strategy_allocation_recommendation_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Agent Einstein — Autonomous Crypto Intelligence policy for all 72 tools.
These attack patterns abuse exactly the kind of access strategy_allocation_recommendation 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.
Walk-Forward Validated Strategy Allocation: Returns Einstein's recommended numeric parameter overrides for live strategies, gated by recent walk-forward validation. For each strategy with a passing snapshot (≤7d age, ≥0.7 stability, ≥0.8 OOS Sortino, ≥16 trials), returns the best-performing parameter set + Sortino lift vs live + stability score + worst-fold drawdown. Closes the ReasoningBank loop for any agent that wants to run Einstein-validated strategies but doesn't want to operate the optimizer themselves.. It is categorised as a Execute tool in the Agent Einstein — Autonomous Crypto Intelligence MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agent Einstein — Autonomous Crypto Intelligence MCP server in PolicyLayer and add a rule for strategy_allocation_recommendation: 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 Agent Einstein — Autonomous Crypto Intelligence. Nothing to install.
strategy_allocation_recommendation 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 strategy_allocation_recommendation 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 strategy_allocation_recommendation. 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.
strategy_allocation_recommendation is provided by the Agent Einstein — Autonomous Crypto Intelligence MCP server (https://emc2ai.io/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 72 Agent Einstein — Autonomous Crypto Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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