glossary__explain_term

［AI 與科技名詞白話解釋］用白話解釋 AI 或科技名詞（如 MCP、RAG、AI 代理人、幻覺、GEO、x402），回傳定義、運作方式、例子、常見誤解、FAQ 與原始來源。可用中文、英文或別名。

SERVERAI 代理人任務中樞 SOURCEhttps://hub.penguindriver.com/mcp

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-penguindriver-hub/glossary--explain-term.md

WHAT IT DOES

What glossary__explain_term does on AI 代理人任務中樞

AI agents call glossary__explain_term 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
`term`	string	Yes	名詞或 id，例如 MCP、檢索增強生成、ai-agent

Parameters from the server's own tool schema.

RISK

Why glossary__explain_term is rated Low

Even though glossary__explain_term 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

RECOMMENDED RULE

The rule that runs glossary__explain_term 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__explain_term, this is the rule to start with:

glossary__explain_term Allowed

glossary__explain_term is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "glossary__explain_term": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AI 代理人任務中樞, apply this rule, and every glossary__explain_term call is checked against it from then on.

FAQ

Questions about glossary__explain_term

What does the glossary__explain_term tool do? +

［AI 與科技名詞白話解釋］用白話解釋 AI 或科技名詞（如 MCP、RAG、AI 代理人、幻覺、GEO、x402），回傳定義、運作方式、例子、常見誤解、FAQ 與原始來源。可用中文、英文或別名。. 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.

What parameters does glossary__explain_term accept? +

glossary__explain_term accepts 1 parameter: term. Required: term. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on glossary__explain_term? +

Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for glossary__explain_term: 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.

What risk level is glossary__explain_term? +

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

Can I rate-limit glossary__explain_term? +

Yes. Add a rate_limit block to the glossary__explain_term 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 glossary__explain_term completely? +

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

glossary__explain_term 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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