6 tools with consistent naming (verb_noun pattern) and parameter types defined. Descriptions are present but generic and under-optimized for LLM selection. All tools lack output schema documentation, parameter descriptions lack actionable detail, and error handling is minimal. No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Tools are simple read-only operations, which helps, but the lack of structured output documentation and insufficient parameter detail prevents higher scoring.

• Document output schema for each tool. E.g., get_pokemon returns {name: string, id: number, types: [string], abilities: [string], stats: {hp, attack, defense, ...}}. Use JSON Schema to make chaining and parsing explicit.
• Expand parameter descriptions to include format, constraints, and recovery hints. E.g., identifier: 'Pokémon name (e.g., pikachu) or National Pokédex ID (1-1025). If not found, returns error with suggested alternatives.'
• Add readOnlyHint=true to all 6 tools via tool annotations. This signals to LLMs that these are safe to retry and do not produce side effects.
• For search_pokemon_by_type, return structured JSON with {pokemon: [{name, id}, ...], total_count: N, limit: 20}. Document the limit in description and explain pagination.
• Enhance error messages with actionable recovery. E.g., 'Pokémon "xyz" not found. Try search_pokemon_by_type(fire) to find Fire-type Pokémon, or get_random_pokemon() to discover a random species.'
• Extend tool descriptions to 80-150 chars, stating WHAT the tool does, WHEN to use it, and what it returns. E.g., 'Fetch detailed stats, types, and abilities for a Pokémon by name or ID. Use get_pokemon_type() or search_pokemon_by_type() to discover species first.'
• Add optional parameters to tools that enhance discovery: get_pokemon could accept {include_evolution_chain: bool}, compare_pokemon could accept {compare_stats_only: bool} to reduce output verbosity.