Critical gaps across all dimensions. The server declares a single tool 'deck_<action>' with a generic, placeholder description that provides no actionable guidance. No explicit tool registration visible in provided source, tool existence is inferred from a comment referencing 'Zod definitions' in packages/mcp/src/tools.ts. Input schemas are not visible in the code sample. Parameter descriptions are absent. Output schema is undocumented. The description 'Tools named deck_<action> for every implemented action offered on mcp with JSON Schema from the Zod definitions' is vague (47 chars), does not explain WHAT the tool does, WHEN to use it, or what it returns. No error handling guidance. This server fails to meet baseline production standards for LLM-facing tool definitions.

• Provide explicit tool registration in packages/mcp/src/tools.ts with concrete tool names (e.g. 'deck_create', 'deck_update', 'deck_delete', 'deck_get') instead of a template placeholder.
• For each tool, write a description (50 - 200 chars) answering: What does it do? When should the LLM call it? What does it return? Example: 'Create a new presentation deck. Returns deck_id, title, and created_at timestamp for use in subsequent calls.'
• Define input schemas with JSON Schema: specify parameter types (string, number, boolean, array, object), add descriptions for each parameter, declare enums for constrained values, and set min/max for numeric fields.
• Document the output schema with field names, types, and descriptions. Include pagination (limit, offset, total_count) if results can be large. Return IDs and references needed by downstream tools.
• Add error handling guidance: categorize errors as retryable vs user-fixable, include the invalid value and constraint violated, and suggest recovery steps (e.g. 'Call deck_list() to see available decks').