Rigorously has 7 tools with explicit schemas and descriptions, but significant gaps limit production readiness. Tool names lack action verbs (check_paper, verify_citation are acceptable; audit_parameters, audit_time_units are weak). Descriptions are present but generic (avg ~80 chars, below 194-char baseline). Parameter descriptions exist but lack constraints (no enums, ranges, or format specs). Output schemas are undocumented, callers cannot predict response structure. Error handling is absent from visible code. One tool (verify_numbers) has WRITE risk but no confirmation pattern. Tool composition is reasonable (single concerns), but missing pagination, result limits, and chaining IDs in responses.

• Document output schemas for all tools. Example for check_paper: 'Returns {overall_rating: string, summary: string, finding_counts: {major: int, minor: int}, major_issues: [{type: string, line: int, text: string}], ...}'
• Add error handling with recovery hints. Wrap file I/O in try-catch; return 'File not found: /path/to/file. Ensure the path is absolute or relative to the working directory.' instead of stack traces.
• Add confirmation step to verify_numbers before executing scripts. Return {status: 'input_required', message: 'About to run script.py. Confirm to proceed?'} and require explicit approval.
• Constrain numeric parameters: timeout (1 - 3600 seconds), warning_threshold (0.0 - 1.0), critical_threshold (0.0 - 1.0). Add to parameter descriptions.
• Rename audit_* tools to stronger verbs: validate_ode_parameters, check_time_unit_consistency. Improves LLM intent inference.