Search ASTGL articles about MCP servers, local AI, and AI automation. Returns relevant article sections with source URLs for citation.
AI agents call search_articles to retrieve information from ASTGL Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Maximum number of results to return (default: 5) |
query | string | Yes | Search query (e.g., 'how to build an MCP server') |
content_type | string | — | Filter by content type: article, tutorial, faq, comparison, guide, newsletter, project |
Parameters from the server's own tool schema.
This tool queries a knowledge base and returns results. There are no side effects, no data modification, no code execution, and no destructive operations. It is a straightforward search/retrieval function analogous to database queries that only read data. The low severity reflects minimal risk if misused by an AI agent — worst case is retrieving irrelevant articles.
From the tool's definition Tool name 'search_articles' and description states it 'Search[es] ASTGL articles' and 'Returns relevant article sections with source URLs' — purely retrieval of existing knowledge base content with no modification, deletion, or execution capability.
Risk signalsAccepts freeform code/query input (query)
Documented attack patterns abuse exactly the kind of access search_articles gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ASTGL Knowledge, and nothing reaches the server without passing your rules. This is the rule we recommend for search_articles:
{
"version": "1",
"default": "deny",
"tools": {
"search_articles": {}
}
}search_articles is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search ASTGL articles about MCP servers, local AI, and AI automation. Returns relevant article sections with source URLs for citation. It is categorised as a Read tool in the ASTGL Knowledge MCP Server, which means it retrieves data without modifying state.
search_articles accepts 3 parameters: limit, query, content_type. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the ASTGL Knowledge MCP server in PolicyLayer and add a rule for search_articles: 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 ASTGL Knowledge. Nothing to install.
search_articles 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 search_articles 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 search_articles. 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.
search_articles is provided by the ASTGL Knowledge MCP server (mcp-astgl-knowledge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ASTGL Knowledge, 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 ASTGL Knowledge tools catalogued and risk-classified — across an index of 43,000+ MCP servers.