Low Risk

extract_article_key_points

Extract key points from a medical article or chapter.

How to control extract_article_key_points ↓

What extract_article_key_points does on MedAdapt Content Server

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

Low Risk

Why extract_article_key_points needs a policy

The tool retrieves and processes information from already-loaded medical content to summarize or highlight key points. This is a pure read operation with no side effects, no data modification, no code execution, and no financial impact. Confidence is high because the description clearly indicates a passive extraction activity.

From the tool's definition Tool description states 'Extract key points from a medical article or chapter' — this is a retrieval and analysis operation that reads existing content without modifying, deleting, or executing external operations.

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

How to control extract_article_key_points

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

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

extract_article_key_points 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 MedAdapt Content Server — 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about extract_article_key_points

What does the extract_article_key_points tool do? +

Extract key points from a medical article or chapter. It is categorised as a Read tool in the MedAdapt Content Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_article_key_points? +

Register the MedAdapt Content Server MCP server in PolicyLayer and add a rule for extract_article_key_points: 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 MedAdapt Content Server. Nothing to install.

What risk level is extract_article_key_points? +

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

Can I rate-limit extract_article_key_points? +

Yes. Add a rate_limit block to the extract_article_key_points 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_key_points completely? +

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

extract_article_key_points is provided by the MedAdapt Content Server MCP server (ryoureddy/medadapt-content-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MedAdapt Content Server tool call.

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

Free to start. No card required.

7 MedAdapt Content Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.