This server has severe definition quality issues. Tool names lack clear action verbs (e.g., 'modify_content_of_presentation' is vague about what content changes). Descriptions are minimal (10-50 chars) and lack context on WHEN to use each tool or WHAT they return. Input schemas are present but incomplete: parameters lack type information beyond basic string/integer declarations, and no output schemas are documented. No error handling guidance, no parameter constraints (enums, ranges), and no indication of which tools are idempotent or destructive. The server appears to be a Flask wrapper around a local LLM with hardcoded tool definitions in gen_data.py, but actual tool implementations are not visible in the provided code.

• Rename tools with clear action verbs: 'update_slide_content' (not 'modify_content_of_presentation'), 'delete_slide' (not 'remove_slide_tool'), 'rewrite_section' (not 'modify_text_of_doc'). Follow verb_noun convention.
• Expand descriptions to 100-200 chars each. Example: 'find_slide_tool: Locate a slide by topic in a presentation. Returns the slide index and title. Use this before calling remove_slide_tool or modify_content_of_presentation to identify the target slide.'
• Document output schemas for every tool. Example: find_slide_tool returns {slide_index: integer, slide_title: string, slide_content: string}. This enables agents to chain calls (e.g., find → remove).
• Add parameter constraints: filename as enum (list valid files), topic as enum (list valid topics), index as integer with min=0, max=100. Replace free-form 'request' in modify_formatting_of_doc with enum (bold_headers, set_font_arial, increase_margins, etc.).
• Add error handling and confirmation: remove_slide_tool should support a dry_run parameter. All modify tools should return success/failure with actionable error messages (e.g., 'Slide not found. Available topics: Q3 Revenue, AI Ethics, Competitor Analysis').