查詢特定班次資訊
AI agents call get_thsr_train_info to retrieve information from THSRC MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves train information without side effects. It queries existing rail service data through the TDX API integration. No data is created, modified, deleted, executed, or committed financially. This is a straightforward informational query operation.
From the tool's definition Tool name 'get_thsr_train_info' with description '查詢特定班次資訊' (query specific train schedule information). Sibling tools include get_thsr_available_seats, get_thsr_live_schedule, get_thsr_timetable, get_thsr_stations—all read-only queries.
Attacks that exploit this kind of access
查詢特定班次資訊. It is categorised as a Read tool in the THSRC MCP Server MCP Server, which means it retrieves data without modifying state.
Register the THSRC MCP Server MCP server in PolicyLayer and add a rule for get_thsr_train_info: 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 THSRC MCP Server. Nothing to install.
get_thsr_train_info 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_thsr_train_info 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_thsr_train_info. 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_thsr_train_info is provided by the THSRC MCP Server MCP server (physictim/thsrc_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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