Low Risk

fin_deepagent_research_finalize

Retrieve the full final text of a completed research run and clear local state.

How to control fin_deepagent_research_finalize ↓

What fin_deepagent_research_finalize does on OpenFinClaw CLI

AI agents call fin_deepagent_research_finalize 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_research_finalize needs a policy

The primary action is retrieving/reading the final output of a research run. 'Clear local state' suggests minor cleanup of local client-side state, which is low risk and not truly destructive of external data. Overall this is a read operation with a trivial side effect.

From the tool's definition Retrieve the full final text of a completed research run and clear local state.

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

How to control fin_deepagent_research_finalize

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_finalize:

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

fin_deepagent_research_finalize 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_research_finalize

What does the fin_deepagent_research_finalize tool do? +

Retrieve the full final text of a completed research run and clear local state. 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_research_finalize? +

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

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

Can I rate-limit fin_deepagent_research_finalize? +

Yes. Add a rate_limit block to the fin_deepagent_research_finalize 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_finalize completely? +

Set action: deny in the PolicyLayer policy for fin_deepagent_research_finalize. 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_finalize? +

fin_deepagent_research_finalize 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.

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

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