Generate bull/base/bear scenarios for a ticker based on a catalyst (e.g. 'earnings', 'tariffs').
AI agents call analyze_scenario 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 is a scenario analysis and forecasting tool that reads market data and generates hypothetical outcomes. It performs quantitative analysis and produces educational/analytical results. While on a trading platform, the tool itself does not execute trades, move money, modify positions, or commit financial obligations—it only generates informational analysis.
From the tool's definition Tool generates scenarios and analysis based on inputs; no modification, deletion, or execution of trades. Description indicates it produces analytical output ('Generate bull/base/bear scenarios') without creating positions, modifying accounts, or executing…
Documented attack patterns abuse exactly the kind of access analyze_scenario 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 analyze_scenario:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_scenario": {}
}
}analyze_scenario is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Generate bull/base/bear scenarios for a ticker based on a catalyst (e.g. 'earnings', 'tariffs'). 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 analyze_scenario: 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.
analyze_scenario 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 analyze_scenario 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 analyze_scenario. 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.
analyze_scenario 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.