fin_deepagent_research_submit

THE RISK

High Risk

Why fin_deepagent_research_submit needs a policy

This tool triggers an external long-running computation task on a remote system. It initiates a research process that runs for several minutes, which constitutes executing an external operation with effects that depend on the arguments passed.

From the tool's definition 'Start a long-running DeepAgent research task (takes 3-10 min). Returns a taskId IMMEDIATELY.'

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

POLICY

How to control fin_deepagent_research_submit

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_research_submit:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "fin_deepagent_research_submit": {
      "limits": [
        {
          "counter": "fin_deepagent_research_submit_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

fin_deepagent_research_submit stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

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

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More OpenFinClaw CLI tools

Destructive fin_deepagent_threads Manage DeepAgent threads — list, create, get, or delete Execute fin_deepagent_cancel Cancel a running DeepAgent run Write strategy_fork Fork a public strategy from Hub to local directory Write strategy_publish Publish a strategy ZIP to Hub server (auto-runs backtest) Read fin_deepagent_research_finalize Retrieve the full final text of a completed research run and clear local state. Read fin_deepagent_backtest_result Get the full backtest report for a given task (metrics / trades / equity curve) Read fin_deepagent_backtests List DeepAgent-generated backtest summaries (returns, sharpe, drawdown, etc.) Read fin_deepagent_download_package Download a strategy package ZIP to local disk (default: ~/.openfinclaw/deepagent-packages/

All 21 OpenFinClaw CLI tools →

Execute tools on other servers

Android Forensics ADB MCP Server adb_shell_command EMBA-MCP run_emba_scan Frida Game Hacking MCP remove_breakpoint Procmon request_elevation

Go deeper

High-risk tools in OpenFinClaw CLI → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about fin_deepagent_research_submit

What does the fin_deepagent_research_submit tool do? +

Start a long-running DeepAgent research task (takes 3-10 min). Returns a taskId IMMEDIATELY. It is categorised as a Execute tool in the OpenFinClaw CLI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on fin_deepagent_research_submit? +

Register the OpenFinClaw CLI MCP server in PolicyLayer and add a rule for fin_deepagent_research_submit: 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_research_submit? +

fin_deepagent_research_submit is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit fin_deepagent_research_submit? +

Yes. Add a rate_limit block to the fin_deepagent_research_submit 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_research_submit completely? +

Set action: deny in the PolicyLayer policy for fin_deepagent_research_submit. 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_research_submit? +

fin_deepagent_research_submit 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.

CHECK YOUR STACK →