Three well-defined tools with complete JSON schemas, clear descriptions, and proper type annotations. All tools are read-only pure functions with ToolAnnotations correctly applied. Naming follows verb_noun convention (thermocouple_to_temperature, thermocouple_to_emf, thermocouple_types). Descriptions are concise (34 - 72 chars) and explain the conversion direction and cold-junction handling. Parameters have types and descriptions. Output schemas are documented in code (return dicts with typed fields). Main gaps: descriptions are at the lower end of the 10 - 1024 char baseline (194 avg for A+ tools); no explicit error handling guidance for invalid thermocouple types or out-of-range EMF values; parameter descriptions could be more prescriptive about valid type_letter values (B, E, J, K, N, R, S, T).

• Add enum constraint to type_letter parameter in both conversion tools: {"enum": ["B", "E", "J", "K", "N", "R", "S", "T"]} to prevent invalid values and make the schema self-documenting.
• Expand thermocouple_to_temperature and thermocouple_to_emf descriptions to ~100 - 150 chars, adding: 'Call thermocouple_types() first if you need to discover valid types or temperature ranges.'
• Add error recovery hint to both conversion tools: 'If type_letter is invalid, call thermocouple_types() to see valid options. If EMF is out of range, check the type's EMF span.'
• Clarify thermocouple_types() description: 'Returns the eight ITS-90 thermocouple types (B, E, J, K, N, R, S, T) with their temperature ranges and EMF spans. Call this first to discover valid types before conversion.'
• Document the Seebeck coefficient field in thermocouple_to_temperature: explain why it's included (e.g., 'Useful for sensitivity analysis') or move it to a separate tool.