This server has significant definition quality gaps that limit its production readiness. While it provides 24 tools with explicit schemas and descriptions, multiple critical issues emerge: (1) Descriptions are present but many are in Turkish only, limiting LLM understanding in English-majority contexts. (2) Many parameter descriptions are minimal or generic ('Koordinatlar dizisi' for coordinates array is vague). (3) Output schemas are NOT documented, no tool specifies what fields will be returned. (4) Error handling is absent, no tool documents what happens on failure or how to recover. (5) Parameter validation is incomplete, numeric ranges lack explicit min/max constraints, geometry_wkt parameters don't specify valid WKT formats. (6) Tools like 'smart-query' and 'orchestrate-analysis' expose complex LLM orchestration logic without clear composition or result format docs. (7) The 'analyze-database' tool uses 'connection_id' as an optional parameter but never documents how to obtain one. (8) Several tools accept table names and column names as strings without documenting SQL injection defense or identifier validation. Evidence: test-connection has empty schema properties; find-nearby lacks geometry_column description; smart-query omits output structure; spatial-join accepts enum join_type but no bounds on result count documented.

• Document the output schema for EVERY tool. Specify return type (object/array), fields, types, and required keys. Example for find-nearby: returns {type: 'array', items: {type: 'object', properties: {id: number, name: string, distance_km: number, geometry: string}}, total: number, next_cursor?: string}.
• Translate all descriptions and parameter docs to English, or provide English as primary language. Tool descriptions must be language-neutral for cross-LLM compatibility.
• Add specific error guidance to each tool. E.g., smart-query: 'If SQL generation fails, returns {error: string, suggestion?: string}. Try decomposing the question or using fast-count-query for simpler counts.'
• Add explicit min/max constraints to numeric parameters in the description text. E.g., 'distance_km (number, 0.1 - 10000): search radius in kilometers' and 'limit (number, 1 - 10000): max results per page.'
• Document geometry_wkt format expectations. Add: 'WKT format (e.g., POINT(0 0), LINESTRING(0 0, 1 1), POLYGON((0 0, 1 0, 1 1, 0 1, 0 0))). Use ST_AsText(geom) to convert PostGIS geometries to WKT.'
• Add a new 'list-connections' tool to enumerate available database connections and their metadata (name, schema, table count). This makes connection_id discoverable instead of opaque.
• Split 'smart-query' and 'orchestrate-analysis' into granular tools: 'list-tables' (enumerate schemas), 'validate-sql' (check query syntax), 'execute-query' (run validated SQL), 'describe-table' (get column types). Let the agent compose these instead of hiding logic in one tool.