Get auto-extracted patterns from past backtests with win rates.
AI agents call get_learned_patterns to retrieve information from Momentum without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reads historical pattern data and statistics from completed backtests. It does not create, modify, delete, execute code, or commit financial transactions. While the server context involves financial analysis, this specific tool only reads aggregated results, placing it firmly in the Read category with low severity and high confidence.
From the tool's definition Tool name 'get_learned_patterns' and description 'Get auto-extracted patterns from past backtests with win rates' indicate retrieval of historical analysis results.
Documented attack patterns abuse exactly the kind of access get_learned_patterns gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Momentum, and nothing reaches the server without passing your rules. This is the rule we recommend for get_learned_patterns:
{
"version": "1",
"default": "deny",
"tools": {
"get_learned_patterns": {}
}
}get_learned_patterns is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get auto-extracted patterns from past backtests with win rates. It is categorised as a Read tool in the Momentum MCP Server, which means it retrieves data without modifying state.
Register the Momentum MCP server in PolicyLayer and add a rule for get_learned_patterns: 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 Momentum. Nothing to install.
get_learned_patterns is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_learned_patterns 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 get_learned_patterns. 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.
get_learned_patterns is provided by the Momentum MCP server (mphinance/momentum-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Momentum, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
52 Momentum tools catalogued and risk-classified — across an index of 43,000+ MCP servers.