Get automatic cleanup suggestions for output file management. Analyzes current directory size and file age to recommend cleanup candidates. Helps manage disk usage by identifying old or large files.
AI agents call get_cleanup_suggestions to retrieve information from MCP Shell Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis and returns suggestions about files without executing any cleanup actions or modifying/deleting data. It is purely informational—reading directory metadata and returning recommendations. The actual cleanup would be performed by separate tools like 'perform_auto_cleanup' or 'delete_execution_outputs'. No side effects or state changes occur.
From the tool's definition Tool description states it 'analyzes current directory size and file age to recommend cleanup candidates' and 'helps manage disk usage by identifying' files.
Attacks that exploit this kind of access
Get automatic cleanup suggestions for output file management. Analyzes current directory size and file age to recommend cleanup candidates. Helps manage disk usage by identifying old or large files. It is categorised as a Read tool in the MCP Shell Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Shell Server MCP server in PolicyLayer and add a rule for get_cleanup_suggestions: 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 Shell Server. Nothing to install.
get_cleanup_suggestions 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_cleanup_suggestions 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_cleanup_suggestions. 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_cleanup_suggestions is provided by the MCP Shell Server MCP server (mako10k/mcp-shell-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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