This server has 3 tools with moderately documented descriptions but significant gaps in schema completeness, parameter validation, and error guidance. Tool names follow verb-noun convention (generate_report, get_analysis_status, clear_session), which is good. However, input schemas visible in the provided code are severely incomplete: generate_report accepts only a 'path' string with minimal type information; get_analysis_status has empty input; clear_session has empty input. No output schemas are documented. Descriptions are present but generic, they explain what the tools do at a high level but lack actionable guidance for when/why LLMs should call them. The code references a mature_analyzer and report_generator but the actual implementation logic is truncated, so we cannot verify parameter validation, error classification, or recovery guidance. The server maintains stateful session data (_current_analysis, _current_data_source), which conflicts with modern MCP stateless request handling. Error responses use create_error_response() helper but without seeing the helper implementation, we cannot assess error message quality or recovery guidance. Per-tool analysis: generate_report has a single parameter (path) with basic description but no validation constraints (e.g., format, length, valid schemes); get_analysis_status has zero parameters and a generic description; clear_session has zero parameters. None of the three tools declare their output schema, responses return Dict[str, Any] with no documented structure. This leaves LLMs unable to plan downstream calls or validate response fields.

• Document output schema for each tool. Specify fields, types, and whether fields are required or optional. For generate_report, document the HTML report file location, analysis metrics structure, and optimization suggestions format.
• Add formal schema constraints to generate_report's 'path' parameter: declare enum for valid schemes (s3, https) or use regex pattern ^(s3://[a-z0-9.-]+/|https://), set max length (e.g., 2048), describe expected content (zip file with event logs).
• Expand description for get_analysis_status to 50-150 characters. Explain what session state is tracked, when this tool is useful (e.g., after running generate_report), and what fields are returned.
• Expand description for clear_session to explain consequences: which cached data is deleted, whether this is reversible, and when an agent should call it (e.g., to free memory between large analyses).
• Add parameter descriptions to all tool inputs. For 'path' in generate_report: 'S3 path (format: s3://bucket/prefix/) or HTTPS URL to a ZIP file containing Spark event logs. Must be publicly accessible or have configured AWS credentials.'
• Remove global state variables and redesign tool interaction as stateless. If session tracking is needed, pass session_id as an explicit parameter to each tool and store session state server-side indexed by session_id.
• Add tool annotations to schema: mark generate_report with readOnlyHint=true, clear_session with destructiveHint=true, get_analysis_status with readOnlyHint=true and idempotentHint=true.

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

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