Critical failures across all dimensions. The single tool 'open_gooogle_search' has a misspelled name (typo: 'gooogle'), a trivial 8-character description that violates the 20-char minimum, no parameter descriptions, and no documented output schema. The tool opens a browser window rather than returning structured data, making it unsuitable for agent composition. No error handling, no input validation, and the implementation uses webbrowser.open() which is not remotely accessible and has no return value for the agent to reason about.

• Rename tool to 'search_google' (verb_noun pattern, no typo). This matches production baselines and is unambiguous.
• Expand description to 50 - 150 characters explaining what the tool does, when to use it, and what it returns. Example: 'Search Google for a query and return the top 10 results with titles, URLs, and snippets. Use this to find current information or verify facts.'
• Add description to 'query' parameter: 'The search query (1 - 2048 characters). Can include keywords, phrases, or operators like site:example.com or filetype:pdf.'
• Return structured JSON with search results: {results: [{title, url, snippet}], total_results, search_time_ms}. This enables agents to extract and reason about results.
• Add input validation: reject empty queries, enforce max length, and return clear error messages like 'Query cannot be empty' or 'Query exceeds 2048 characters.'