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Parse CSV to JSON array -- auto-detect delimiter (comma/semicolon/tab/pipe), header row support.
Single tool 'data_parse_csv_to_json' has a well-structured schema with proper types and descriptions for all parameters. The tool description is comprehensive (280+ chars) and includes use cases and anti-patterns (what NOT to use it for). However, the output schema is documented only in prose within the description rather than as a formal JSON Schema object. Parameter descriptions are clear and specific. The tool follows verb_noun naming convention. No critical security issues detected (read-only operation). Main gap: output schema should be formally declared in the tool definition, not just described in text.
Use this when you need to convert CSV data to a JSON array. Returns parsed data with auto-detected settings in JSON. Returns: 1. data (array of objects with column names as keys) 2. rowCount 3. columnCount 4. detectedDelimiter 5. headers array. Example output: {"data":[{"name":"Alice","age":"30","city":"Paris"},{"name":"Bob","age":"25","city":"London"}],"rowCount":2,"columnCount":3,"detectedDelimiter":",","headers":["name","age","city"]} Use this FOR data migration, importing spreadsheets into APIs, converting exported CSV reports, and preparing tabular data for analysis. Do NOT use for JSON validation -- use data_validate_json instead. Do NOT use for markdown conversion -- use text_convert_markdown_to_html instead. Do NOT use for web scraping -- use web_scrape_to_markdown instead.
Output schema not formally declared. Tool description documents output fields (data, rowCount, columnCount, detectedDelimiter, headers) in prose and example JSON, but no formal JSON Schema object is provided for the response. LLMs cannot reliably parse unstructured output descriptions.
Parameter 'delimiter' accepts free-form string with only prose guidance ('comma, semicolon, tab, pipe'). Should be declared as an enum with explicit allowed values to prevent LLM hallucination of invalid delimiters.
No error handling guidance documented. Tool description does not explain what happens on malformed CSV, empty input, encoding issues, or delimiter detection failure. LLMs need recovery hints.
No pagination or result limits documented. If CSV contains thousands of rows, the response could be very large. Tool should document any row limits and offer pagination if needed.
Inferred effective spec: 2025-06-18+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | C | 66 | 2025-06-18+ | v2 |