Traverse MCP has 10 tools with basic descriptions and schemas, but significant gaps limit production readiness. All tools have descriptions (10-50 chars, below the 50-200 char baseline for LLM optimization), and most have input schemas with type definitions. However, parameter descriptions are sparse or missing entirely. For example, 'describe_content_group' accepts 'content_group_id' with only a 40-char description; 'execute_entrypoint' has a complex schema with mutually exclusive parameters (request_path vs request) but no explicit documentation of this constraint in parameter descriptions. Output schemas are not documented anywhere in the source. Error handling is absent, no guidance on retryability, user-fixable vs fatal errors, or recovery paths. The 'shutdown' tool is irreversible but lacks a confirmation pattern. Tool composition is reasonable (each does one thing), but the interface is API-centric rather than chat-aligned, users must know entrypoint_kind enums and version strings rather than natural names.

• Expand tool descriptions to 80-150 characters. Include WHAT the tool does, WHEN to call it, and what it returns. Example: 'List all available entrypoints (capabilities and workflows) in the registry. Call this first to discover what can be executed. Returns entrypoint IDs, names, versions, and descriptions.'
• Add parameter descriptions for all inputs. For 'execute_entrypoint', explicitly document: 'request_path and request are mutually exclusive, provide exactly one. request_path points to a JSON file; request is an inline object.'
• Document output schemas in tool descriptions or a separate schema section. Example: 'Returns an array of {id: string, name: string, version: string, description: string}. Use the id and version in subsequent describe_entrypoint or execute_entrypoint calls.'
• Add error handling guidance. Example for 'execute_entrypoint': 'Returns {success: true, result: ...} on success. On validation failure, returns {success: false, error: string, recoverable: boolean}. If recoverable=true, call validate_entrypoint first to diagnose.'
• Implement a confirmation pattern for 'shutdown'. Add an optional 'confirm' parameter (default false). If false, return {status: 'ready_to_shutdown', message: 'Call again with confirm=true to proceed'}. This prevents accidental server termination.