AI agents call parse_id_card to retrieve information from Lkx without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool parses a Chinese national ID number to extract embedded data (region, birthdate, gender) and validates its checksum. It performs no writes, deletions, or external calls that modify state. However, it processes sensitive PII (national identity numbers), so misuse could facilitate privacy violations or identity-related attacks, warranting a medium severity rating.
From the tool's definition 解析中国身份证号码，获取地区、出生日期、性别等信息，并校验身份证号码是否合法 — 'parse' and '获取' (retrieve) indicate read-only extraction of information from an ID card number
Attacks that exploit this kind of access
解析中国身份证号码，获取地区、出生日期、性别等信息，并校验身份证号码是否合法. It is categorised as a Read tool in the Lkx MCP Server, which means it retrieves data without modifying state.
Register the Lkx MCP server in PolicyLayer and add a rule for parse_id_card: 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 Lkx. Nothing to install.
parse_id_card 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 parse_id_card 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 parse_id_card. 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.
parse_id_card is provided by the Lkx MCP server (liukexina/lkx-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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