Server provides 6 well-named tools with clear, actionable French descriptions and complete JSON Schema input definitions. All tools follow verb_noun naming conventions (list_, get_, query_). Descriptions are substantive (100-200 chars), exceeding the rubric minimum. Input schemas include types, required fields, and parameter descriptions. However, NO output schemas are documented, LLMs cannot predict what fields will be returned or plan downstream chaining. Error handling is minimal: the server throws generic HTTP errors without recovery guidance or actionable messages. No parameters use enums despite several opportunities (facet names like 'theme', 'publisher', 'keyword', 'license' are constrained sets). The server defaults limit=20 and offset=0 appropriately, avoiding destructive defaults. All tools are read-only (no state mutation), reducing risk. Overall, this is a solid data-access server with excellent parameter clarity but missing output documentation and error sophistication.

• Document output schemas for each tool. Example for list_datasets: 'Returns { datasets: [{id, title, description, theme, record_count, modified_date, publisher}], total: number, limit: number, offset: number }'.
• Convert 'facet' parameter in get_facets to an enum: enum: ['theme', 'publisher', 'keyword', 'license']. Removes ambiguity and self-documents valid options.
• Wrap API error responses with actionable recovery guidance. Catch 404s and suggest: 'Dataset not found. Call list_datasets(search="...") to find available datasets.' Catch validation errors on ODSQL filters and return: 'Invalid filter syntax. Check ODSQL documentation: [link]. Example: where="commune='Nouméa'"'.
• Enhance parameter descriptions with examples of ODSQL syntax. Add to 'where' description: 'Use ODSQL syntax: where="commune='Nouméa' AND annee>=2020". Learn more: [ODSQL docs]'.
• Consider adding a 'discover' or 'schema' tool that returns metadata about a dataset's columns (name, type, sample values). This helps agents construct valid queries without trial-and-error.
• Add pagination guidance to list_datasets and query_records: 'Results are paginated. If limit < total, increment offset to fetch next page. Set limit=100 for max results per call.'