AI agents call read_file to retrieve information from Shell without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves file contents without side effects. It performs a read-only operation. The broader server context mentions 'directory restrictions' as a security layer, which further suggests this tool is constrained to safe data access patterns. The low severity reflects minimal blast radius—an AI agent reading files can leak information but cannot modify, delete, or execute code.
From the tool's definition Tool name 'read_file' and description 'Read the contents of a file' explicitly indicate data retrieval with no modification or deletion.
Attacks that exploit this kind of access
Read the contents of a file. It is categorised as a Read tool in the Shell MCP Server, which means it retrieves data without modifying state.
Register the Shell MCP server in PolicyLayer and add a rule for read_file: 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 Shell. Nothing to install.
read_file 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 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. 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 is provided by the Shell MCP server (kg912/shell-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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