Three tools with basic descriptions but significant gaps. get_local_file_list and write_text_to_file have minimal parameter descriptions (only 1 param each with brief text). get_weather has a mock implementation returning hardcoded output. No input schemas visible in source, only parameter names inferred from function signatures. No output schemas documented. Error handling returns plain strings without recovery guidance. Tool descriptions are 50-100 chars, below the 194-char baseline for production tools. No parameter constraints (enums, ranges, formats). write_text_to_file has a misleading docstring (copy-paste error: 'Returns: A string containing the weather information'). No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Composition is reasonable (three separate concerns), but parameter naming lacks type suffixes (e.g., 'path' should clarify it's a directory path, 'location' should clarify it's a city name).
Get a list of files and directories in a specified path.
Get current weather information for the specified location.
Write specified text to a file.
No input schemas visible in source code. Tool definitions inferred from function signatures only (path: str, file_name: str, text: str, location: str). JSON Schema with types and descriptions not present in registration.
write_text_to_file has incorrect docstring: 'Returns: A string containing the weather information for the specified location' (copy-paste from weather tool). Misleads LLM about output.
No output schemas documented. LLMs cannot infer what fields to expect from responses (e.g., does get_local_file_list return a list or a formatted string? What structure?).
Error handling returns plain strings ('Error: ...') without recovery guidance. LLM cannot determine if error is retryable, user-fixable, or fatal.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 43 | 2026-07-28+ | v2 |
get_weather returns mock hardcoded response. Not a functional tool for production use, always returns same forecast regardless of location input.