Domain Memory provides 7 tools with clear, domain-specific naming (get_project_primer, search_knowledge, save_knowledge, etc.) that follow verb_noun conventions. Descriptions are present and contextual (avg ~120 chars), explaining WHAT each tool does and WHEN to use it. However, input schemas are not visible in the provided source excerpt, only tool names and descriptions are shown. Without seeing actual parameter definitions, types, and constraints, schema quality cannot be verified. The tools appear well-composed (each has one responsibility) and include helpful dependency hints ('Call search_knowledge first'). Risk annotations (READ_ONLY, WRITE) are present but not formalized as tool annotations in the MCP protocol sense. Error handling and output schemas are not documented in the visible code.

• Add explicit JSON Schema definitions for all tool inputs, including parameter types (string, number, array), required fields, enums for constrained values (e.g., branch names), and min/max for numeric fields.
• Document output schemas for each tool. Specify which fields are returned, their types, and which IDs/references are included for tool chaining (e.g., does search_knowledge return topic_key so save_knowledge can use it directly?).
• Formalize risk annotations using MCP protocol tool annotations: add readOnlyHint=true to get_project_primer, search_knowledge, read_staging, resolve_topic_key, check_drift; add destructiveHint=true to save_knowledge and stage_finding.
• Add error handling guidance to descriptions. E.g., save_knowledge: 'Returns conflict error if entry exists, call search_knowledge first to check. Conflicts are user-fixable; ask user to review and retry with supersede=true.'
• Document pagination and result limits. E.g., search_knowledge: 'Returns up to 50 ranked candidates. Use limit and offset parameters to paginate. Returns total_count for planning.'