Frontload provides 9 tools with basic schemas and descriptions, but falls short of production quality. All tools have descriptions (10-200 chars, within baseline range) and input schemas with type definitions. However, descriptions are minimal and lack LLM-optimized guidance on WHEN to use each tool or WHAT happens next. Parameter descriptions are sparse or missing context. No output schemas documented. Error handling is absent from tool definitions. Tool names use prefixes (fl_*) rather than action verbs, reducing discoverability. The server is STDIO-only, which is a hard transport limitation.

• Rename tools to use action verbs: fl_policy → get_policy, fl_index → build_index, fl_dossier → generate_dossier, fl_search → search_repository, fl_read → read_file, fl_run → run_command, fl_diff → get_diff, fl_budget → get_budget_report, fl_localScout → run_scout.
• Add output schemas to all tools. Document the structure of returned objects, field types, and which fields are safe to chain into downstream tools. Example: fl_search should document that results include 'file_path' (chainable to fl_read) and 'relevance_score'.
• Expand descriptions to 50-200 chars with explicit WHEN/WHY guidance. Example: 'fl_policy' → 'Get the current token and command budget policy. Call this before running expensive operations (build, test, run) to verify you have sufficient budget. Returns budget_remaining_tokens, budget_remaining_chars, and allowed_command_kinds.'
• Add parameter constraints and ranges. Example: 'budgetChars' should specify 'Character limit for output (100-100000; default 5000). Larger budgets may truncate results to fit token limits.'
• Document error scenarios and recovery paths for each tool. Example: 'fl_run may fail if command exceeds timeout (30s) or output exceeds budget. If timeout occurs, try breaking the command into smaller steps or increasing the budget.'