TokenMizer MCP exposes 6 well-named, intentional tools for session checkpointing and graph-backed memory. All tools have descriptions and input schemas with typed parameters. However, several critical gaps reduce quality: (1) Output schemas are undocumented, no schema definitions for return values from any tool, forcing LLMs to guess at response structure; (2) Parameter descriptions exist but lack specificity on format/constraints (e.g., resume_session.level enum values are documented but file_path in analyze_file has no path format guidance); (3) No error handling guidance in any tool description, LLMs don't know what to do if a session is not found, file is unreadable, or token_budget is exceeded; (4) Error categories (retryable vs. fatal) are undefined; (5) No recovery paths or next-step guidance in error cases; (6) Destructive operations (checkpoint_session modifies graph state) lack confirmation or dry-run support; (7) analyze_file accepts arbitrary file_path without documented path validation or traversal guards. These issues are typical for community tools but block production deployment.

• For EVERY tool, add a documented output schema in the description. Example: 'Returns {checkpoint_id: string, created_at: ISO8601, graph_summary: {task_count: int, decision_count: int}}'. This is critical for LLM planning.
• Add error handling guidance to every tool description. Format: 'Error cases: (1) session not found, try list_sessions() to see available IDs; (2) storage write failed, retryable, wait 5s then retry; (3) malformed messages, ensure each message has role and content fields.'
• For analyze_file: document allowed file types as an enum, not examples. Add path validation: 'file_path must be an absolute path within /data directory; no symbolic links or ../.' Document timeout (e.g., '30s max'). Add response schema: 'Returns {file_type: string, schema: {columns: [...]}|{keys: [...]}, sample_rows: int, estimated_tokens: int, ...}'.
• For checkpoint_session: add confirmation pattern. Description: 'DESTRUCTIVE: modifies session graph. Requires confirmation before execution. Returns error if session already exists with different messages (prevents accidental overwrite).'
• For resume_session and why_decision: replace jargon ('level', 'supersession chain') with prose explanations in parameter descriptions. Level: 'Controls verbosity of the summary: critical (~100 tokens) for quick context, standard (~300) for typical resumption, full (~600) for complete audit trail.'
• For get_savings_stats: expand description to explain calculation method, add optional date_range parameter (default 'this_week'), and document response schema with fields like {total_tokens_saved: int, compression_ratio: float, period: string, breakdown_by_strategy: {...}}.