Two minimal tools with bare-bones definitions. Input schemas lack property descriptions; 'text' and 'headers' parameters have no guidance on format, constraints, or examples. Output schemas are undocumented. No error handling guidance. Tool names are verb-based (parse, stringify) but generic; they don't convey domain context (e.g., 'parse_http_headers' would be clearer). No pagination, no composition hints, no recovery guidance.

• Add descriptions to all parameters. For 'parse': 'HTTP header block text (one header per line, Name: value format, e.g., "Content-Type: application/json\r\nAuthorization: Bearer token")'. For 'stringify': 'Header map with string or array values (e.g., {"content-type": "application/json", "set-cookie": ["a=1", "b=2"]})'. Descriptions should explain format, constraints, and examples.
• Document output schemas in tool descriptions. E.g., parse: 'Returns a Headers object where keys are lowercase header names and values are strings or arrays (set-cookie always an array).' stringify: 'Returns a CRLF-separated string of Name: value lines.'
• Enhance error messages with recovery guidance. E.g., 'Invalid header format: missing colon on line 3. Expected "Name: value" format.' or 'stringify failed: headers object contains non-string/non-array value at key "x-custom". All values must be string or string[].'
• Rename tools for clarity: 'parse_http_headers' and 'stringify_http_headers' to reduce ambiguity and improve LLM tool selection.
• Add input validation and return structured error responses. Validate that parse input is a non-empty string, stringify input is a valid object with string/array values. Return {"isError": true, "content": [{"type": "text", "text": "<actionable error message>"}]} with specific guidance on what went wrong and how to fix it.