Critical gaps across all dimensions. Tool descriptions are present but generic (avg ~60 chars, well below 194-char baseline). Input schemas visible but severely underdeveloped: most parameters lack type definitions (e.g., 'knowledge_base' and 'execution_results' typed as 'object' with no nested schema). No output schemas documented. Parameter descriptions are minimal or absent. No error handling guidance. No tool annotations (readOnlyHint/destructiveHint). Naming is reasonable (verb-noun pattern) but composition issues: tools like 'breaker_loop' and 'fixer_loop' are vague; 'execute_swarm_adversarial' conflates multiple concerns. Demo app tools (get_users, create_user, etc.) are well-named but lack parameter descriptions and output schema documentation. Overall, definitions are skeletal, sufficient to invoke but insufficient for LLM reasoning or error recovery.

• Add nested schema definitions for all object parameters. For 'knowledge_base', define properties: endpoints (array of {name, method, path, params}), metadata (object), etc. Use $ref for reusable schemas.
• Document output schemas for every tool. E.g., 'discover' returns {endpoints: [{name, method, path, description}], total_count, next_cursor}. Include field types and descriptions.
• Rename vague tools: 'breaker_loop' → 'generate_attack_vectors', 'fixer_loop' → 'evolve_test_fixes', 'execute_swarm_adversarial' → 'run_adversarial_checks'. Verify names match action verbs.
• Add enum constraints and format descriptions to all parameters. E.g., spec_type: enum [openapi, graphql, postman], mode: enum [parallel, sequential]. Replace free-form strings with constrained inputs.
• Add error handling guidance to tool descriptions. E.g., 'If spec parsing fails, check file format (YAML/JSON) and syntax. Call analyze_spec with a simpler spec first to isolate the issue.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry