The server provides 2 well-named tools with clear, concise descriptions and proper input schemas. Tool naming (web_search, web_fetch) follows verb_noun convention and is unambiguous. Descriptions are LLM-optimized (50-150 chars) and explain WHAT each tool does and WHEN to use it. Input schemas include proper type definitions and field descriptions. However, output schemas are not documented, LLMs cannot infer what fields to expect from results. Error handling is present but minimal (no recovery guidance). Parameter ranges are specified in descriptions but not formally constrained in the schema (e.g., max_results lacks enum or minimum/maximum). The 'char' parameter uses a custom UnmarshalJSON type to accept both string and number, which is clever but not self-documenting for LLMs. Overall: solid definitions with room for output schema documentation and error guidance.

• Add explicit output schema documentation. For web_search, specify: returns array of {title: string, url: string, snippet: string, highlights: string, score: float}. For web_fetch, specify: returns {content: string, url: string}.
• Formalize parameter constraints in schema using JSON Schema minValue, maxValue, pattern fields, not just descriptions. e.g. max_results: {type: 'integer', minimum: 5, maximum: 50}.
• Enhance error descriptions with recovery guidance. e.g. 'Search timeout. Try a shorter query or reduce max_results. Call web_fetch directly if you know the URL.'
• Document the char parameter polymorphism explicitly: 'Accepts string or number. Both "2000" and 2000 are valid; both are clamped to [2000, 64000].'
• Consider adding page/offset and limit parameters to web_search to enable pagination and prevent context window exhaustion from large result sets.