AI agents call get_doc_content to retrieve information from Feishu 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 document content from Feishu without side effects. It is a read-only operation that fetches data. No data is created, modified, deleted, or executed. The low severity reflects minimal blast radius—unauthorized reads could expose sensitive document content, but the operation itself is non-destructive and reversible.
From the tool's definition Tool name 'get_doc_content' and description '获取飞书文档的原始内容' (get Feishu document raw content) indicate retrieval of document content with no modification or deletion.
Attacks that exploit this kind of access
获取飞书文档的原始内容. It is categorised as a Read tool in the Feishu MCP Server, which means it retrieves data without modifying state.
Register the Feishu MCP server in PolicyLayer and add a rule for get_doc_content: 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 Feishu. Nothing to install.
get_doc_content 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_doc_content 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_doc_content. 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_doc_content is provided by the Feishu MCP server (lm203688/feishu-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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