AI agents call fetch_article_summary to retrieve information from PubMed Advanced MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool fetches (retrieves) article summaries, which is a read-only operation with no side effects. Even though the description is empty, the naming convention and context of a PubMed literature server strongly indicate this is a data retrieval function. No data is created, modified, deleted, or financial obligations are incurred.
From the tool's definition Tool name 'fetch_article_summary' indicates retrieval of article summaries from PubMed. No description provided, but based on sibling tools (fetch_full_article, batch_fetch_articles) and server purpose (searching, retrieving biomedical literature), this tool…
Documented attack patterns abuse exactly the kind of access fetch_article_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PubMed Advanced MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for fetch_article_summary:
{
"version": "1",
"default": "deny",
"tools": {
"fetch_article_summary": {}
}
}fetch_article_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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fetch_article_summary. It is categorised as a Read tool in the PubMed Advanced MCP Server MCP Server, which means it retrieves data without modifying state.
Register the PubMed Advanced MCP Server MCP server in PolicyLayer and add a rule for fetch_article_summary: 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 PubMed Advanced MCP Server. Nothing to install.
fetch_article_summary 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 fetch_article_summary 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 fetch_article_summary. 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.
fetch_article_summary is provided by the PubMed Advanced MCP Server MCP server (suyashekhande/pubmed-mcp-advanced). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from PubMed Advanced MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 PubMed Advanced MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.