Low Risk

analyze_news_sentiment

Analyze sentiment of news headlines using keyword analysis

How to control analyze_news_sentiment ↓

What analyze_news_sentiment does on SEC MCP

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

Low Risk

Why analyze_news_sentiment needs a policy

This tool performs sentiment analysis on news headlines using keyword-based processing. It retrieves/reads news data and performs computational analysis to derive sentiment metrics, with no side effects on data or external systems. No data is created, modified, deleted, or financial transactions are involved. This is a pure Read operation.

From the tool's definition Tool name 'analyze_news_sentiment' and description 'Analyze sentiment of news headlines using keyword analysis' indicate retrieval and analysis of existing data with no modification, creation, deletion, or execution of external operations.

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

How to control analyze_news_sentiment

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

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

analyze_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 SEC MCP — 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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Questions about analyze_news_sentiment

What does the analyze_news_sentiment tool do? +

Analyze sentiment of news headlines using keyword analysis. It is categorised as a Read tool in the SEC MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_news_sentiment? +

Register the SEC MCP server in PolicyLayer and add a rule for analyze_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 SEC MCP. Nothing to install.

What risk level is analyze_news_sentiment? +

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

Can I rate-limit analyze_news_sentiment? +

Yes. Add a rate_limit block to the analyze_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 analyze_news_sentiment completely? +

Set action: deny in the PolicyLayer policy for analyze_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 analyze_news_sentiment? +

analyze_news_sentiment is provided by the SEC MCP server (luisrincon23/sec-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SEC MCP tool call.

Start from SEC MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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62 SEC MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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