Three well-named tools with complete input schemas and solid descriptions. All tools follow verb_noun pattern (radio_search, radio_get_station, radio_top_stations). Descriptions are 150 - 250 chars, within the 10 - 1024 baseline. All parameters have types and descriptions. Tool annotations (readOnlyHint, idempotentHint, destructiveHint, openWorldHint) are present and correct. Output is formatted as readable text with station details, stream URLs, and UUIDs. Error handling returns actionable messages. Main gaps: output schema not formally documented (LLM must infer structure from text response), no pagination support despite potential for large result sets, and parameter descriptions could be more prescriptive about constraints (e.g., 'country' should clarify exact format expected).

• Document the output schema formally. Define a RadioStation object with fields: name (string), country (string), tags (string, comma-separated), bitrate (integer or null), url_resolved (string), stationuuid (string), codec (string), votes (integer), clickcount (integer). Return structured JSON instead of formatted text.
• Add pagination: include 'offset' and 'total' in responses. For radio_search and radio_top_stations, return { stations: [...], total: N, offset: 0 } so agents can fetch results 31 - 60 by calling with offset=30.
• Enhance parameter descriptions with format constraints. E.g., 'country: Full country name (e.g., Germany, United Kingdom). Do not use ISO codes or abbreviations.' Replace examples with enums or regex patterns where feasible.
• Categorize errors in responses. Return { error: 'not_found', message: '...', retryable: false } or similar. This guides LLM recovery logic.
• Add a discovery tool or document available genres/countries. E.g., 'radio_list_genres' or 'radio_list_countries' to help agents discover valid filter values without trial-and-error.