Loading ToolBench
Full-stack Google AI toolkit powered by SocketsIO. Provides translation, language detection, OCR, text-to-speech, and sentiment analysis via Google Cloud APIs.
Server provides 7 tools with complete input schemas and descriptions. Naming follows verb_noun convention (translate, detect, languages, bulk_translate, ocr, text_to_speech, analyze_sentiment). Descriptions are present and adequate (100-200 chars typical), explaining WHAT each tool does. However, output schemas are documented only in docstrings, not formally in the tool registration. Parameter descriptions are good but lack explicit constraints (enums, ranges, patterns). Error handling is minimal, tools call external APIs but do not provide recovery guidance. No tool annotations (readOnlyHint, destructiveHint) despite all being read-only operations. Missing idempotency guarantees and rate-limit guidance.
Analyze the sentiment of text using Google Cloud Natural Language API.
Translate multiple texts to the target language in a single request (max 128 items).
Detect the language of the given text.
Get the list of all 195 supported translation languages.
Extract text from an image using Google Cloud Vision API (OCR). Provide EITHER image_url (a publicly accessible URL) OR image_base64 (base64-encoded image bytes).
Convert text to speech using Google Cloud Text-to-Speech API. Returns base64-encoded audio data.
No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all tools being read-only. LLMs cannot infer safety properties without explicit hints.
Output schemas documented only in docstrings, not formally registered. LLMs cannot parse return structure from code alone, must infer from text descriptions.
Error handling returns raw API responses or generic error dicts without recovery guidance. E.g., 'No translation returned' does not tell LLM what to do next.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 58 | 2026-07-28+ | v2 |
Translate text to the target language using Google Cloud Translation (195 languages).
Parameter constraints (e.g., max 128 items for bulk_translate, max 5000 chars for text_to_speech) documented in descriptions but not enforced as JSON Schema constraints (maxItems, maxLength).
OCR tool accepts both image_url and image_base64 with empty string defaults, creating ambiguity. Should use oneOf schema or explicit mutual exclusivity documentation.