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• Decompose analyze_file into four focused tools: (1) get_file_info (path, package, line count, language version), (2) get_imports (returns array with static/on-demand flags), (3) get_types (returns type definitions with optional member details), (4) get_diagnostics (compilation errors/warnings with severity). This enables agents to call only what they need and compose multi-step analyses.
• Document the output schema for analyze_file (or for each decomposed tool) with explicit field names, types, and structure. Example: { 'filePath': string, 'package': string, 'lineCount': number, 'imports': [{ 'name': string, 'isStatic': boolean, 'isOnDemand': boolean }], 'types': [{ 'name': string, 'kind': enum(class|interface|enum), 'memberCount': number, 'members': [...optional...] }], 'diagnostics': [{ 'message': string, 'severity': enum(error|warning), 'line': number }] }.
• Expand tool description to 250-350 characters covering: (1) what it does (returns file-level code structure + compilation diagnostics), (2) when to use it (e.g., 'Call this to understand a Java file's imports, types, and compilation state in one call'), (3) prerequisites ('Requires the project to be loaded via load_project first'), (4) what to expect ('Returns structured metadata; use includeDiagnostics=false to omit error/warning details and reduce output size').
• Add error recovery guidance: 'If filePath is invalid, try list_files() to discover available paths. If load_project hasn't been called, initialize with load_project() first. Compilation errors are returned as-is; resolve them in the source file and re-call analyze_file to refresh diagnostics.'