8 tools with complete schemas and descriptions, but descriptions are verbose (200-400+ chars, well above the 50-200 char LLM-optimized baseline) and written in Chinese with domain-specific jargon that may confuse LLMs. All tools are read-only (good for safety), but parameter descriptions lack actionable constraints (enums, ranges, formats). No error handling guidance or recovery paths documented. Tool names are descriptive but not verb-noun action-oriented (grep, find, read, ls are commands, not actions like search_logs, locate_files). Output schemas are partially documented in code comments but not formally exposed in the tool registration.

• Condense descriptions to 50-150 characters. Example: grep → 'Search session transcripts and docs by regex or keyword. Returns file paths and line numbers.' (70 chars vs current 380+). Move domain context (space_key, .md/.jsonl) to parameter descriptions.
• Add enum constraints to free-form parameters: 'by' in stats must be one of [day, week, person, space, tool]; 'metric' must be one of [tokens, tokens_io, tokens_in, tokens_out, cache, sessions, turns]. Declare in schema and description.
• Rename tools to action-verb style: grep→search_sessions, find→locate_files, read→retrieve_content, ls→list_spaces, log→list_commits, sessions→search_sessions_by_author, stats→aggregate_stats, read_github→fetch_github_file. Improves LLM intent inference.
• Document error cases and recovery paths for each tool. Example: 'If no results found, try broader regex or different space. If auth fails on read_github, check GitHub token configuration.' Add to description or separate error_handling field.
• Expose output schemas formally in tool registration. For stats, document that response includes {rows: [{key, tokens_total, tokens_in, tokens_out, sessions, turns, cells?}], totals, coverage, metric, by, split}. For grep/find, document {results: [{path, line, context}]}.