Server exposes 13 tools with complete JSON Schema input definitions and descriptions. All tools have proper type annotations (object, string, integer) and parameter descriptions. Tool annotations (readOnlyHint, destructiveHint) are correctly implemented. However, descriptions are terse (10-60 chars), lacking context on WHEN to use each tool or dependencies between them. Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; no recovery guidance. Naming is clear and verb-based (hover, definitions, rename_symbol), but composition issues exist: open_document + change_document + close_document could be unified into edit_document for simpler agent reasoning.

• Expand tool descriptions to 100-200 chars. Include WHEN to use (e.g., 'Call hover to see type info and docs at a cursor position'), WHAT it returns (e.g., 'Returns markdown-formatted hover text'), and any prerequisites (e.g., 'Requires document to be open').
• Document output schemas for all tools. E.g., hover returns {structuredContent: {data: {contents: {kind: 'markdown', value: string}}}}. This lets LLMs predict and extract fields correctly.
• Add error handling guidance to descriptions. E.g., 'If document_path is not found, returns error code 404 with message. Try open_document first or check workspace_root is correct.'
• Clarify position indexing in parameter descriptions. State: 'line and character are 0-indexed (line 0 = first line, character 0 = first column). Out-of-bounds positions return error code 400.'
• Consider consolidating document lifecycle tools into a single edit_document tool with an 'action' enum parameter (open|change|replace|close) to reduce agent reasoning overhead and token waste.