AgentCraftworks exposes 6 well-named tools with complete JSON schemas and non-empty descriptions. However, descriptions are generic (median ~80 chars) and lack LLM-optimization guidance. Parameter descriptions exist but are minimal. Output schemas are not documented, callers cannot see what fields to expect in responses. Error handling is basic (errorReporting flag present but no recovery guidance visible in code). Tools follow verb_noun naming convention and have clear single responsibilities. The server lacks tool annotations (readOnlyHint, destructiveHint, idempotentHint) which would help LLMs understand side effects. Overall, this is a functional but incomplete implementation, definitions are present and syntactically correct, but lack depth for optimal LLM agent reasoning.

• Document output schemas for all tools. Add 'returns' sections describing the structure of successful responses (e.g., create_handoff returns {handoff_id: string, status: string, created_at: ISO8601Date}). This enables downstream tool chaining.
• Add tool annotations: mark create_handoff, accept_handoff, complete_handoff, attach_context with destructiveHint=true; mark query_workflow_state and get_context with readOnlyHint=true. Use idempotentHint=true for operations that are safe to retry.
• Expand parameter descriptions to 50-100 chars. Example: 'to_agent: Name of the receiving agent (e.g., code-reviewer, security-specialist). Valid agents are resolved from CODEOWNERS file.' This clarifies format and dependencies.
• Enumerate valid agent names instead of free-form strings. Either add an enum field to to_agent parameter, or create a discover/list_agents tool so LLMs can query available agents before calling create_handoff.
• Add error recovery guidance. When a tool fails, return error codes with next-step hints. Example: {error: 'AGENT_NOT_FOUND', message: 'Agent code-reviewer not found. Call list_agents() to see available agents.', retryable: false}.
• Document parameter dependencies. E.g., context parameter is optional but recommended when priority=critical. document field_value_* properties in complete_handoff outputs as explicitly optional to prevent LLM confusion.
• Add a dry-run or confirm_step parameter to destructive operations (create_handoff, complete_handoff). Agents make mistakes, allow 'dry_run=true' so agents can preview side effects before committing.