This server has fundamental definition quality issues that prevent confident production use. While tool names follow action-verb conventions (query_, list_, get_, search_), the critical problems are: (1) Most parameter schemas are completely absent or inferred rather than explicitly visible in source; (2) Parameter descriptions are either missing or minimal; (3) No evidence of output schema documentation; (4) Many tools lack sufficient description length to guide LLM selection. The server appears to be a TypeScript MCP implementation with 17 tools, but without access to the actual tool registration code (only file paths and high-level descriptions are provided), most tool definitions cannot be verified as having complete input schemas. Tools like query_backend_logs, list_tables, and query_table appear to have NO input parameter descriptions visible. Search tools (search_knowledge, search_docs, search_event_types) have minimal parameter documentation. Admin tools mention permission requirements but provide no detail on what parameters they accept or what their outputs contain. The only tools with somewhat visible input schemas are get_software_inventory (tenantId parameter shown), but even there, output structure is undocumented.

• Make every tool schema explicit and visible: document all input parameters (name, type, description, required/optional, constraints) as JSON Schema in the tool registration. If a tool accepts a query string, specify: type=string, minLength=1, maxLength=256, and description='Search query in Lucene syntax; use OR/AND to combine terms.'
• Expand all tool descriptions to 100 - 200 characters and structure them as: 'ACTION: [What the tool does]. WHEN: [Use this instead of similar tools]. RETURNS: [Key field types].' Example: 'ACTION: Query backend logs for errors/warnings. WHEN: Diagnosing deployment issues or investigating failed enrollments. RETURNS: Array of {timestamp, severity, message, trace_id}.'
• Document output schemas for every tool. Either in the tool description or in a separate response_schema field, specify the structure: e.g., search_knowledge returns [{id, title, body, relevance_score}]; get_tenant_config returns {schema_version, tenant_id, config_json, last_modified_by, last_modified_at}.
• Add pagination support to search tools: accept limit (default 20, max 100) and offset (default 0) parameters. Document: 'Returns up to 20 results by default. Use offset to page through large result sets. Total count always included in response.'
• Add error recovery guidance to permission-gated tools: 'If you lack GlobalAdmin role, ask the user to elevate their permissions or contact their tenant administrator. Error: {error_message}', guide the LLM on what to tell the user.
• For destructive tools (update_tenant_config, revert_tenant_config), add a 'dry_run' boolean parameter (default false). Document: 'When true, validates the operation without making changes. Call with dry_run=true first, review the response, then call again with dry_run=false to execute.' Ensure responses are idempotent, repeated calls with the same input and timestamp produce the same result.