Ploid MCP demonstrates solid definition quality with complete schemas, clear descriptions, and proper tool annotations. All 6 tools have explicit Zod schemas with type constraints and descriptions. Tool names follow verb_noun convention (research_person, find_people, find_decision_makers, personalize_message, research_company, run_agent). Descriptions are concise (50-150 chars) and action-oriented. However, output schemas are not documented, responses are opaque AgentEnvelope objects with unstructured 'output' text fields. Error handling is basic (try-catch with generic messages). Parameter descriptions could be more prescriptive about constraints and formats. No pagination support despite tools returning variable-length results.

• Document output schemas for all tools. Define the structure of AgentEnvelope.data (output, artifacts, structured_output fields) and what each contains. Example: 'Returns {output: string, artifacts: Array<{type, data}>, structured_output: object}'.
• Add pagination to find_people and find_decision_makers. Accept 'offset' and 'limit' parameters (or cursor-based pagination), return 'total_count' and 'has_more' fields. Cap default limit at 20-50 to prevent context bloat.
• Enhance error handling with categorization. Distinguish 'retryable' (rate limit, timeout) from 'user_fixable' (invalid company name, missing API key) from 'fatal' (auth failure). Return actionable recovery hints: 'API key not found. Set PLOID_API_KEY or authenticate via your MCP client.'
• Add constraint descriptions to parameters. For 'goal' and 'tone', specify expected length and format. For 'max_acu', explain what it controls: 'Maximum compute units to consume (0.2=quick lookup, 6.4=deep research). Higher values return richer results but consume more credits.'
• Consider renaming 'run_agent' to 'run_research_agent' or splitting into domain-specific tools (run_people_research, run_decision_maker_discovery) to improve LLM tool selection clarity.