get_job_detail
取得單筆 104 職缺的完整詳情:完整職務說明、薪資、地點、學經歷要求、需求技能、語言能力、福利、產業別。傳入 search_jobs 結果中的職缺網址(url 欄位)。
This record as markdown: /tools/104-mcp-server/get-job-detail.md
What get_job_detail does on 104
AI agents call get_job_detail to retrieve information from 104 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_job_detail is rated Low
Even though get_job_detail 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 get_job_detail safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 104, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_job_detail, this is the rule to start with:
get_job_detail 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 104, apply this rule, and every get_job_detail call is checked against it from then on.
Questions about get_job_detail
取得單筆 104 職缺的完整詳情:完整職務說明、薪資、地點、學經歷要求、需求技能、語言能力、福利、產業別。傳入 search_jobs 結果中的職缺網址(url 欄位)。. It is categorised as a Read tool in the 104 MCP Server, which means it retrieves data without modifying state.
Register the 104 MCP server in PolicyLayer and add a rule for get_job_detail: 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 104. Nothing to install.
get_job_detail 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_job_detail 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_job_detail. 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_job_detail is provided by the 104 MCP server (a7512cs/104-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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