MCPBridge defines 12 tools with basic schemas and descriptions, but falls short of production quality. Tool names follow verb_noun convention (list_tools, call_tool, delegate_task), which is good. However, descriptions are generic and lack LLM-optimization guidance. Most critically, parameter descriptions are minimal or absent, e.g., 'agent_name' is described as 'Optional: filter tools by agent name' but lacks context on what happens if omitted. Input schemas are present but sparse: many parameters lack type constraints, enums, or validation rules. Error handling is not visible in the provided code excerpt. Output schemas are undocumented, callers cannot predict response structure. The server exposes HTTP transport (good for protocol readiness) but tool definitions lack the depth needed for reliable agent reasoning.

• Expand parameter descriptions to 50-150 characters each. For 'agent_name', write: 'Name of the agent to filter by. If omitted, returns tools from all registered agents. Use discover_agents or list_agents to find valid names.'
• Document output schemas for all tools. E.g., list_tools should return: {tools: [{name: string, description: string, inputSchema: object}], total: number}. Include this in the tool description or a separate schema field.
• Add enum constraints for parameters with known values. E.g., 'capability_type' in register_capability should be enum: ['tool', 'resource', 'prompt'] instead of free-form string.
• Include error handling guidance in descriptions. E.g., discover_agents: 'Returns error if discovery_url is unreachable (timeout after N seconds). Retry with a longer timeout or verify the URL is correct.'
• Add dependency hints to discovery tools. E.g., list_tools: 'Call this first to see available tools before invoking call_tool. If no tools appear, call discover_agents to register external agents.'

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

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