Low Risk

news_sentiment

Get recent news headlines for a stock. Args: symbol: Ticker symbol limit: Number of articles to return (default 10)

How to control news_sentiment ↓

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

Low Risk

This tool queries and retrieves publicly available news data without creating, modifying, deleting, or executing any operations. The blast radius of misuse is minimal—an agent could only retrieve news data it shouldn't have access to, which poses negligible risk compared to tools that modify state or execute commands. It belongs in the Read category as a straightforward data retrieval function.

From the tool's definition Tool retrieves 'recent news headlines for a stock' with parameters for ticker symbol and article limit. The verb 'Get' and action of retrieving headlines with no modification capability indicate a read-only operation.

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

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

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

news_sentiment 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 Trading Skills — 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 news_sentiment tool do? +

Get recent news headlines for a stock. Args: symbol: Ticker symbol limit: Number of articles to return (default 10). It is categorised as a Read tool in the Trading Skills MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on news_sentiment? +

Register the Trading Skills MCP server in PolicyLayer and add a rule for news_sentiment: 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 Trading Skills. Nothing to install.

What risk level is news_sentiment? +

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

Can I rate-limit news_sentiment? +

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

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

news_sentiment is provided by the Trading Skills MCP server (staskh/trading_skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Trading Skills tool call.

Deterministic rules across all 35 Trading Skills tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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35 Trading Skills tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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