List files and directories
AI agents call list_files to retrieve information from MCP Software Engineer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries the file system structure without modifying, deleting, or executing any operations. It is a standard read-only operation analogous to 'ls' or 'dir' commands used for information gathering only.
From the tool's definition Tool name 'list_files' and description 'List files and directories' indicate a retrieval operation with no modification of data or execution of external operations.
Attacks that exploit this kind of access
List files and directories. It is categorised as a Read tool in the MCP Software Engineer MCP Server, which means it retrieves data without modifying state.
Register the MCP Software Engineer MCP server in PolicyLayer and add a rule for list_files: 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 MCP Software Engineer. Nothing to install.
list_files 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 list_files 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 list_files. 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.
list_files is provided by the MCP Software Engineer MCP server (rajawatrajat/mcp-software-engineer). 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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