read_file_by_markdown
AI agents call read_file_by_markdown to retrieve information from Xiaoya Teacher without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name explicitly indicates a read operation ('read_file') with markdown formatting output. While the description is empty and provides no additional context, the semantic meaning of 'read' in a filesystem/document context is to retrieve data without side effects. This is classified as a Read operation with medium-high confidence.
From the tool's definition Tool name 'read_file_by_markdown' contains the verb 'read', indicating data retrieval without modification.
Attacks that exploit this kind of access
read_file_by_markdown. It is categorised as a Read tool in the Xiaoya Teacher MCP Server, which means it retrieves data without modifying state.
Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for read_file_by_markdown: 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 Xiaoya Teacher. Nothing to install.
read_file_by_markdown 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_file_by_markdown 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_file_by_markdown. 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_file_by_markdown is provided by the Xiaoya Teacher MCP server (sav1our520/xiaoya-teacher-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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