Low Risk

extract_article

Extract clean article content from any URL as agent-optimized markdown. Uses advanced content extraction to get main article text, metadata, and reading stats. Perfect for agents processing news, blogs, documentation.

Risk signalsAccepts URL/endpoint input (url)

Part of the Web Content Extractor server.

extract_article is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE WEB CONTENT EXTRACTOR →

Free to start. No card required.

AI agents call extract_article to retrieve information from Web Content Extractor without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though extract_article only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Web Content Extractor policy for all 5 tools.

Get this rule live on your own Web Content Extractor server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY WEB CONTENT EXTRACTOR →

These attack patterns abuse exactly the kind of access extract_article gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so extract_article only ever does what you allow.

SECURE WEB CONTENT EXTRACTOR →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the extract_article tool do? +

Extract clean article content from any URL as agent-optimized markdown. Uses advanced content extraction to get main article text, metadata, and reading stats. Perfect for agents processing news, blogs, documentation.. It is categorised as a Read tool in the Web Content Extractor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_article? +

Register the Web Content Extractor MCP server in PolicyLayer and add a rule for extract_article: 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 Web Content Extractor. Nothing to install.

What risk level is extract_article? +

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

Can I rate-limit extract_article? +

Yes. Add a rate_limit block to the extract_article 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_article completely? +

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

extract_article is provided by the Web Content Extractor MCP server (@agenson-horrowitz/web-content-extractor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Web Content Extractor tool call.

Deterministic rules across all 5 Web Content Extractor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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