读取 .xls Excel 文件的数据
AI agents call read_xls to retrieve information from Xls Mcp Servers without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data from Excel files without creating, modifying, executing, or deleting anything. It has no side effects beyond fetching information, making it a straightforward Read operation with low severity.
From the tool's definition Tool name is 'read_xls' and description states '读取 .xls Excel 文件的数据' (read .xls Excel file data). The verb 'read' and absence of modification language indicate data retrieval only.
Attacks that exploit this kind of access
读取 .xls Excel 文件的数据. It is categorised as a Read tool in the Xls Mcp Servers MCP Server, which means it retrieves data without modifying state.
Register the Xls Mcp Servers MCP server in PolicyLayer and add a rule for read_xls: 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 Xls Mcp Servers. Nothing to install.
read_xls 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 read_xls 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 read_xls. 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.
read_xls is provided by the Xls Mcp Servers MCP server (lincyghb/xls-mcp-server). 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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