Low Risk

fin_deepagent_backtests

List DeepAgent-generated backtest summaries (returns, sharpe, drawdown, etc.)

How to control fin_deepagent_backtests ↓

What fin_deepagent_backtests does on OpenFinClaw CLI

AI agents call fin_deepagent_backtests to retrieve information from OpenFinClaw CLI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why fin_deepagent_backtests needs a policy

This tool queries and retrieves pre-computed backtest results. It performs a read-only operation with no side effects, state changes, or external actions. While the server context involves financial strategy backtesting, this specific tool merely lists summary data.

From the tool's definition Tool name contains 'backtests' and description states it 'List[s] DeepAgent-generated backtest summaries' — a retrieval operation that returns historical performance metrics (returns, sharpe, drawdown).

Documented attack patterns abuse exactly the kind of access fin_deepagent_backtests gives an agent:

How to control fin_deepagent_backtests

PolicyLayer is an MCP gateway — it sits between your AI agents and OpenFinClaw CLI, and nothing reaches the server without passing your rules. This is the rule we recommend for fin_deepagent_backtests:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fin_deepagent_backtests": {}
  }
}

fin_deepagent_backtests is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register OpenFinClaw CLI — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about fin_deepagent_backtests

What does the fin_deepagent_backtests tool do? +

List DeepAgent-generated backtest summaries (returns, sharpe, drawdown, etc.). It is categorised as a Read tool in the OpenFinClaw CLI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fin_deepagent_backtests? +

Register the OpenFinClaw CLI MCP server in PolicyLayer and add a rule for fin_deepagent_backtests: 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 OpenFinClaw CLI. Nothing to install.

What risk level is fin_deepagent_backtests? +

fin_deepagent_backtests is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fin_deepagent_backtests? +

Yes. Add a rate_limit block to the fin_deepagent_backtests 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.

How do I block fin_deepagent_backtests completely? +

Set action: deny in the PolicyLayer policy for fin_deepagent_backtests. 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.

What MCP server provides fin_deepagent_backtests? +

fin_deepagent_backtests is provided by the OpenFinClaw CLI MCP server (mirror29/openfinclaw-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenFinClaw CLI tool call.

Start from OpenFinClaw CLI, 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.

21 OpenFinClaw CLI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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