full_research_brief · Financial Research Agent MCP

WHAT IT DOES

What full_research_brief does on Financial Research Agent

AI agents invoke full_research_brief to trigger actions in Financial Research Agent. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why full_research_brief needs a policy

This tool executes an autonomous agent that orchestrates multiple data retrieval and analysis operations in sequence. While the underlying operations (analyst_ratings, news_sentiment, etc.) are Read operations, the tool itself EXECUTES a ReAct agent loop that dynamically decides which sub-tools to invoke and how to process their results.

From the tool's definition Tool runs 'the full LangGraph ReAct agent' with autonomy to generate investment briefs by orchestrating multiple research tools (analyst_ratings, news_sentiment, stock_financials, technical_indicators).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

full_research_brief Rate-limited

full_research_brief 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Financial Research Agent, so you can run agents against it safely.

FAQ

Questions about full_research_brief

What does the full_research_brief tool do? +

Run the full LangGraph ReAct agent and return a structured investment brief. It is categorised as a Execute tool in the Financial Research Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on full_research_brief? +

Register the Financial Research Agent MCP server in PolicyLayer and add a rule for full_research_brief: 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 Financial Research Agent. Nothing to install.

What risk level is full_research_brief? +

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

Can I rate-limit full_research_brief? +

Yes. Add a rate_limit block to the full_research_brief 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 full_research_brief completely? +

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

full_research_brief is provided by the Financial Research Agent MCP server (rahul-jajala/ai-financial-research-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.