news_crawl
AI agents call news_crawl to retrieve information from FNewsCrawler without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name and server context, this tool retrieves/crawls news data without modifying it. No evidence of side effects, deletions, code execution, or financial transactions. Classified as Read with medium-low confidence due to missing tool description.
From the tool's definition Tool name 'news_crawl' suggests retrieval of news content. Server description states it 'provides real-time financial news' (提供实时财经资讯). Sibling tools follow read-only patterns (get_ak_*, get_eastmoney_*). Tool description is empty, reducing confidence.
Attacks that exploit this kind of access
news_crawl. It is categorised as a Read tool in the FNewsCrawler MCP Server, which means it retrieves data without modifying state.
Register the FNewsCrawler MCP server in PolicyLayer and add a rule for news_crawl: 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 FNewsCrawler. Nothing to install.
news_crawl is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the news_crawl 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.
Set action: deny in the PolicyLayer policy for news_crawl. 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.
news_crawl is provided by the FNewsCrawler MCP server (noimank/fnewscrawler). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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