Low Risk

extract_trade_ideas

Extract structured trading ideas from any text — tweets, news, research notes, theses. Returns instruments, direction, confidence, and suggested markets.

How to control extract_trade_ideas ↓

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

Low Risk

Despite the financial domain context, extract_trade_ideas is a data analysis and retrieval tool. It parses text to identify and structure trading information (instruments, direction, confidence, markets) but does not execute trades, move funds, or modify any financial state. The tool operates on input text and returns structured output — a classic Read operation.

From the tool's definition Tool 'extracts' and 'returns' structured data from text input; performs analysis and parsing with no modification of external state or execution of trades

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

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

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

extract_trade_ideas 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 Agenti — 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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Go deeper

What does the extract_trade_ideas tool do? +

Extract structured trading ideas from any text — tweets, news, research notes, theses. Returns instruments, direction, confidence, and suggested markets. It is categorised as a Read tool in the Agenti MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_trade_ideas? +

Register the Agenti MCP server in PolicyLayer and add a rule for extract_trade_ideas: 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 Agenti. Nothing to install.

What risk level is extract_trade_ideas? +

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

Can I rate-limit extract_trade_ideas? +

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

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

extract_trade_ideas is provided by the Agenti MCP server (nirholas/agenti). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agenti tool call.

Deterministic rules across all 73 Agenti tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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73 Agenti tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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