Get a step-by-step tutorial or guide on a topic from ASTGL's knowledge base. Returns ordered steps extracted from article sections, ideal for 'how do I...' queries.
AI agents call get_tutorial 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 |
|---|---|---|---|
query | string | Yes | What you want to learn (e.g., 'set up Ollama for local AI', 'build an MCP server') |
Parameters from the server's own tool schema.
This tool retrieves and presents educational content from a knowledge base. It has no side effects, does not create/modify/delete data, does not execute code or external operations, and does not involve financial transactions. It is a straightforward read operation analogous to fetching documentation.
From the tool's definition Tool description states it 'Get[s] a step-by-step tutorial' and 'Returns ordered steps extracted from article sections' — retrieval operations with no modification, deletion, or execution of code.
Risk signalsAccepts freeform code/query input (query)
Documented attack patterns abuse exactly the kind of access get_tutorial 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 get_tutorial:
{
"version": "1",
"default": "deny",
"tools": {
"get_tutorial": {}
}
}get_tutorial is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get a step-by-step tutorial or guide on a topic from ASTGL's knowledge base. Returns ordered steps extracted from article sections, ideal for 'how do I...' queries. It is categorised as a Read tool in the ASTGL Knowledge MCP Server, which means it retrieves data without modifying state.
get_tutorial accepts 1 parameter: query. 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 get_tutorial: 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.
get_tutorial 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 get_tutorial 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 get_tutorial. 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.
get_tutorial 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.