MirasAI defines 3 tools with complete input schemas and descriptions. Tool names follow verb_noun patterns (category/translate, content/audit-multilingual, content/check-links). Descriptions are detailed (100-250 chars) and explain prerequisites and side effects. However, parameter descriptions lack specificity on formats/constraints, output schemas are not documented, and error handling guidance is minimal. The tools address a specialized domain (Joomla multilingual content) with clear intent, but lack the polish expected of production-grade agent tools.

• Document output schemas for all three tools. Specify the structure of successful responses, including field names, types, and what IDs/references are returned for chaining.
• Add format constraints to parameters: target_language should specify 'BCP 47 language tag (e.g., es-ES, en-GB)'; source_id and article_id should specify 'positive integer'; dry_run and fix should clarify default behavior.
• Add error handling guidance: document which errors are retryable (e.g., database lock), which require user action (e.g., missing translation), and which are fatal (e.g., invalid category ID).
• Explain the if_match/ETag pattern in content/check-links: clarify that if_match comes from a prior preview call, and what happens if the ETag is stale (conflict vs. overwrite).
• Consider renaming tools to verb_noun format (translate_category, audit_multilingual_content, check_links) for better LLM discoverability and alignment with production baselines.