Low Risk

fin_deepagent_research_poll

Poll an in-progress research run. Blocks inside the MCP server for waitSeconds (default 20s,

How to control fin_deepagent_research_poll ↓

What fin_deepagent_research_poll does on OpenFinClaw CLI

AI agents call fin_deepagent_research_poll 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_poll needs a policy

This tool retrieves status information about an in-progress research execution. It performs no writes, deletions, or financial operations. The blocking behavior is a timing mechanism, not a side effect. Polling is a standard Read operation that queries the state of a resource.

From the tool's definition Tool description states 'Poll an in-progress research run' and 'Blocks inside the MCP server for waitSeconds'. Polling is a read operation that retrieves status of an existing research run without modifying it.

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

How to control fin_deepagent_research_poll

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_poll:

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

fin_deepagent_research_poll 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_poll

What does the fin_deepagent_research_poll tool do? +

Poll an in-progress research run. Blocks inside the MCP server for waitSeconds (default 20s,. 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_poll? +

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

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

Can I rate-limit fin_deepagent_research_poll? +

Yes. Add a rate_limit block to the fin_deepagent_research_poll 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_poll completely? +

Set action: deny in the PolicyLayer policy for fin_deepagent_research_poll. 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_poll? +

fin_deepagent_research_poll 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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