The server defines a single tool 'run_command' with a minimal description and incomplete schema. The tool name lacks a verb prefix (should be 'execute_command' or 'run_shell_command'), the description is only 55 characters (below the 194-char baseline for production tools), and critically, the input schema visible in the code shows only a 'command' parameter with type 'string' and description. The return type is not documented in the tool definition, the LLM cannot infer what fields (stdout, stderr, returncode) to expect. The tool implements basic denylist-based command filtering rather than allowlist, which is a weak security posture. The docstring references output fields in prose ('Returns: A dictionary containing stdout, stderr, and return code') but this is not formalized in the schema for LLM consumption. The second tool 'mcpreadme' (a resource, not a tool) is hardcoded to a specific user's Desktop path, showing poor generalization.

• Rename 'run_command' to 'execute_shell_command' to lead with the action verb and match LLM naming conventions.
• Expand the tool description to 150 - 250 characters explaining: (1) what it does ('Execute a shell command on the server'), (2) when to use it ('When the user needs to check system status, list files, or run scripts'), (3) security constraints ('Only non-destructive commands allowed; see blocked patterns'), and (4) output format ('Returns stdout, stderr, and exit code').
• Formalize the output schema in the MCP tool definition: return type is an object with 'stdout' (string), 'stderr' (string), and 'returncode' (integer). Document this in the tool registration, not just in prose docstrings.
• Replace the denylist approach with an allowlist of safe patterns or required approval for destructive operations. Current blocklist can be bypassed (e.g. 'echo rm -rf /' does not match 'rm' as a standalone command).
• Add input constraints to the 'command' parameter: max length (e.g. 1000 chars), description explaining the shell context, and examples of valid commands.
• Implement consistent error response structure. All errors should return the same dict format (stdout, stderr, returncode) to avoid LLM confusion. Populate stderr with actionable messages: 'Command "rm" blocked: use the file_manager tool for destructive operations' instead of 'Error: Command "rm" is not allowed'.
• Add recovery guidance to blocked-command errors: 'Command "rm" is not allowed. To delete files, use the delete_file tool instead.' This teaches the agent alternative patterns.