16 tools with complete input schemas and descriptions present, but quality is inconsistent. Naming follows verb_noun pattern (rpa_*) appropriately. Descriptions are present but often terse (10-150 chars, below the 194-char baseline) and lack actionable context for LLM selection. Parameters have types and descriptions, but many lack constraints (enums, ranges, format specs). No output schemas documented, LLMs cannot predict return structure. Error handling guidance is absent. Tool composition is reasonable (each does one thing), but descriptions don't explain WHEN to use each tool vs. alternatives (e.g., rpa_click_text vs rpa_click_at vs rpa_click_image). Security: no secrets exposed as params (good), but no audit/logging guidance. Overall: functional definitions, but below production baseline for agent-facing tools.

• Add output schemas to all tools. Document return fields, types, and structure. E.g., rpa_screenshot should return {text: string, image?: base64, clickable_points: [{label: string, x: int, y: int}]}.
• Expand descriptions to 100 - 200 chars. Include WHEN to use (e.g., 'Use rpa_click_text when you can see the button label; use rpa_click_image for unlabeled icons; use rpa_click_at when you have exact coordinates').
• Add min/max bounds to numeric parameters. E.g., threshold: {type: number, minimum: 0.0, maximum: 1.0, description: 'Similarity threshold (0.0 - 1.0). Default: 0.8.'}.
• Add error recovery hints to descriptions. E.g., rpa_click_text: 'If text not found, call rpa_screenshot to verify visibility, then retry with a region parameter.'
• Document idempotency and side effects. E.g., rpa_click_at is idempotent if the target state is stable; rpa_type_text is not (repeated calls append text unless clear=true).