glossary__get_howto
［AI 與科技名詞白話解釋］取得 AI 實作教學（建立 MCP 伺服器、llms.txt、FAQPage JSON-LD、robots.txt 封鎖 AI 訓練、x402 流程、計算 Token），含需求、步驟、程式碼與常見錯誤。
This record as markdown: /tools/com-penguindriver-hub/glossary--get-howto.md
What glossary__get_howto does on AI 代理人任務中樞
AI agents call glossary__get_howto to retrieve information from AI 代理人任務中樞 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | — | 關鍵字，例如 MCP、llms.txt |
id | string | — |
Parameters from the server's own tool schema.
Why glossary__get_howto is rated Low
Even though glossary__get_howto only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs glossary__get_howto safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AI 代理人任務中樞, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For glossary__get_howto, this is the rule to start with:
glossary__get_howto is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AI 代理人任務中樞, apply this rule, and every glossary__get_howto call is checked against it from then on.
Questions about glossary__get_howto
［AI 與科技名詞白話解釋］取得 AI 實作教學（建立 MCP 伺服器、llms.txt、FAQPage JSON-LD、robots.txt 封鎖 AI 訓練、x402 流程、計算 Token），含需求、步驟、程式碼與常見錯誤。. It is categorised as a Read tool in the AI 代理人任務中樞 MCP Server, which means it retrieves data without modifying state.
glossary__get_howto accepts 2 parameters: q, id. The full parameter table on this page comes from the server's own tool schema.
Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for glossary__get_howto: 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 AI 代理人任務中樞. Nothing to install.
glossary__get_howto 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 glossary__get_howto 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 glossary__get_howto. 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.
glossary__get_howto is provided by the AI 代理人任務中樞 MCP server (https://hub.penguindriver.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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