Three tools with complete input schemas and solid descriptions (avg 180 chars, within baseline 194). All parameters typed and described. Tool names follow verb_noun pattern (search_, get_). However, output schemas are undocumented, LLMs cannot plan downstream calls or extract structured data. No error handling guidance. No pagination support despite search tools that could return many results. Parameter descriptions lack format constraints (e.g., 'family' enum values stated in description but not formalized). Missing tool annotations (readOnlyHint, idempotentHint). Composition is sound, three distinct, single-purpose tools with clear separation.

• Document output schemas for all three tools. Example for td_search_operators: 'Returns array of {name: string, family: string, summary: string, doc_url: string}'. This enables LLMs to extract operator names for chaining into td_operator_schema.
• Add offset/limit pagination to td_search_operators and td_search_parameters. Return {results: [...], total: N, offset: M} so agents can iterate over large result sets without context explosion.
• Formalize 'family' parameter as JSON Schema enum: {"type": "string", "enum": ["TOP", "CHOP", "SOP", "DAT", "MAT", "COMP", "POP"], "description": "..."} instead of listing in description text.
• Add readOnlyHint and idempotentHint annotations to all three tools via FastMCP's tool decorator. This signals to agents that these calls are safe to retry and do not modify state.
• Enhance error messages with recovery guidance. E.g., if td_operator_schema receives an invalid op_type, return 'Operator type "XYZ" not found. Try td_search_operators("XYZ") to find the correct name.' instead of a bare 404.