Critical gaps across all dimensions. Tool descriptions are present but minimal (10-50 chars, well below 194-char baseline). Input schemas visible but lack depth: most parameters have type and description, but no enums, ranges, or constraints. No output schemas documented. Error handling absent. Parameters like 'python_code' and 'required_libraries' expose implementation details. No tool annotations (readOnlyHint/destructiveHint). Naming is verb-forward but some tools are vague ('propose_insight', 'recall'). No pagination, no idempotency guidance, no recovery paths. This is a D-grade server with functional but under-specified tools.

• Add output schemas to all tools. Document return type, field names, and structure. E.g., fetch_market_data returns {company: string, price: float, timestamp: ISO8601, confidence: 0-1}.
• Expand descriptions to 50-200 chars. Include WHEN to use, prerequisites, and side effects. E.g., 'Sends a message to another agent via mailbox. Use after checking mailbox to confirm recipient is online. Non-blocking; recipient may not read immediately.'
• Add tool annotations: mark create_*, deploy_*, save_* as destructiveHint=true; mark get_*, fetch_*, recall as readOnlyHint=true. Enable LLM to reason about retry safety.
• Add parameter constraints: importance as integer with minimum=1, maximum=10; python_code as string with minLength=10; required_libraries as array of strings matching ^[a-z0-9_-]+$ (valid package names).
• Add error handling to descriptions. E.g., 'If recipient not found, returns error with available agent names. If mailbox full, returns error with cleanup guidance.' Provide recovery paths.