This tool is designed to analyze MSBench log zip file, automatically extract error information from nested logs.
This server exhibits several definition quality issues that substantially limit production readiness. While tool naming follows the verb_noun pattern (analyze_*, compare_*) and descriptions are present, there are critical gaps in schema definition, parameter documentation, and error handling. All five tools accept only string parameters with minimal constraint documentation. Output schemas are entirely undocumented, the server returns unstructured string concatenations rather than typed, structured objects. Parameter descriptions are minimal (single phrases like 'Path to the zip file...') and lack format constraints, expected ranges, or error cases. Error handling is absent; there are no recovery guides or actionable error messages visible in the code. The tools perform complex multi-step analysis (error extraction, categorization, report generation, comparison) but expose no indication of success/failure status, validation results, or partial completion handling. This is typical of a research or prototype tool not yet hardened for agent integration.
Analyze errors in MSBench cls log files and return detailed analysis results. The cls log files contain error information from MSBench execution logs. This function extracts error messages, categorizes them by type, and provides comprehensive statistics. Does not save results to file.
Analyze errors in MSBench cls log files and save the report to an Excel file. The cls log files contain error information from MSBench execution logs. This function extracts error messages, categorizes them by type, and generates comprehensive statistics. Saves results to an Excel file with detailed error data.
Analyze tool call errors in MSBench trajectory data (fetchLog.json) and return a summary of the analysis results. The trajectory data contains step-by-step tool call interactions with assistant-tool message pairs. This function identifies failed tool calls, extracts error messages, and provides statistics by tool type. Does not save results to file.
Analyze tool call errors in MSBench trajectory data (fetchLog.json) and save the report to an Excel file. The trajectory data contains step-by-step tool call interactions with assistant-tool message pairs. This function identifies failed tool calls, extracts error messages, and generates comprehensive statistics. Saves results to an Excel file with detailed data and tool error statistics.
No input schema validation or constraints. All parameters are bare strings with no type enforcement, format patterns, length limits, or enum values. The server accepts any string for zipPath without validating it is a valid file path or zip archive.
Output schemas completely undocumented. Tools return raw string concatenations (JSON.dumps of dicts joined with newlines) rather than typed, structured objects. LLMs cannot parse the response format, extract specific fields, or chain outputs to other tools.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 39 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 39 | - | v1 |
Compare two MSBench trajectory zip files and analyze differences in task steps and tool usage. This function analyzes two zip files containing MSBench trajectory data and generates a comprehensive comparison report including task step counts, tool usage statistics, and average metrics. Saves results to an Excel file with detailed comparison data.
No error handling or recovery guidance. Tools return success summaries but provide no indication of what happens if the zip path is invalid, the file is corrupt, or analysis fails partway through. No actionable error messages for LLM self-correction.
Parameter descriptions lack actionable detail. 'Path to the zip file containing MSBench cls log files' does not explain expected format, valid file extensions, absolute vs relative paths, or what constitutes a valid MSBench zip structure. LLMs must guess.
Tools exhibit 'and' anti-pattern in naming and behavior. 'analyze_cls_errors_and_save_report' conflates two concerns: analysis + file I/O. Agents cannot analyze without saving, or save without analyzing. Should be split into separate tools so agents compose them independently.
No pagination or result limits declared. Tools analyze arbitrary zip files that may contain thousands of errors/tasks. No indication of result size, truncation behavior, or pagination support. Large result sets will blow context windows.