This server exposes only 2 tools with severely incomplete definitions. Both tools lack meaningful parameter descriptions, output schemas are undocumented, and the server's primary tool (ask_alfresco) is a meta-router rather than a concrete action tool. The 'ask_alfresco' tool violates single-responsibility principles by claiming to route to audit or docs tools, which means it's not truly performing one clear action, it's delegating to an unspecified backend. The 'list_available_tools' tool is discovery-oriented but provides no schema documentation of what structure it returns. Descriptions are minimal and do not explain WHAT each tool does, WHEN to use it, or what it returns. Parameter descriptions are absent entirely. This server does not meet baseline quality for production agent tooling.

• Replace ask_alfresco with concrete, single-purpose tools that directly invoke Alfresco backends. Example: search_alfresco_documents, search_alfresco_audit_logs. This makes the agent's action explicit and traceable.
• For each tool, add a complete parameter description explaining: expected format, valid values, constraints, and examples. The 'prompt' parameter should document max length, character restrictions, and example valid queries.
• Document the output schema for each tool. Example: 'search_alfresco_documents returns {documents: [{id: string, name: string, modified_date: string, path: string}], total_count: number, next_cursor?: string}'.
• Add error handling guidance. Example: 'If the query fails, the tool returns {error: string, suggested_fixes: string[]}. The agent should suggest corrections from suggested_fixes or try rephrasing the query.'
• Split router tool into direct backend tools so the agent knows exactly what action is being taken. Avoid meta-tools that delegate to other tools, they reduce observability and increase hallucination risk.
• Add pagination support to list_available_tools if the number of available backend tools is large. Include total_count and next_cursor in the response.