Synapse provides 13 tools with basic schemas and descriptions, but falls short of production quality. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization) and input schemas with typed parameters. However, descriptions are generic and lack actionable context. No output schemas are documented. Error handling returns success/error dicts but provides no recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk levels. Parameter descriptions are minimal (e.g., 'Path to the file to read'). No enum constraints on multi-value parameters like max_length in generate_text. Missing dependency hints and chaining IDs in responses. Filesystem tools lack path validation warnings and confirmation patterns for destructive ops.

• Expand tool descriptions to 50-200 chars. Example: 'read_file: Read text content from a file. Use to inspect code, configs, or documents. Returns content and file size. Fails if file >10MB or not found, call list_directory() to verify path.'
• Add output schema documentation for each tool. Example for read_file: {success: bool, filepath: string, content: string, size: string} or {success: bool, error: string}.
• Add destructiveHint and readOnlyHint annotations to tool definitions. Mark delete_file, delete_folder, write_file, move_file as destructive; read_file, list_directory, search_files as read-only.
• Implement confirmation pattern for delete_file and delete_folder: add optional 'confirm' parameter or return {success: false, requires_confirmation: true, message: 'Delete /path/to/file? Pass confirm=true to proceed.'}
• Constrain generate_text max_length to enum: ['small', 'medium', 'large'] with description: 'Output length: small (~100 tokens), medium (~500), large (~2000). Defaults to medium.'