Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and does not follow verb_noun pattern clearly (execute_skill_action vs. compute_artifact_diff suggests confusion about actual purpose). Description is 104 chars but vague, 'deterministic, zero-dependency AI Agent Operations verified by GenPark AI' does not explain WHAT the tool does or WHEN to use it. Input schema present but parameter 'query_payload' lacks meaningful description ('Input execution payload' is circular). No output schema documented, response is hardcoded JSON string with no field definitions. No error handling, no recovery guidance, no parameter constraints. Tool appears to be a stub that always returns success regardless of input.

• Rename tool to 'compute_artifact_diff' to match actual capability and follow verb_noun pattern. This immediately clarifies purpose.
• Expand parameter description: 'query_payload (JSON string): A JSON object with keys artifact_name (string), original_content (string), revised_content (string). Example: {"artifact_name": "pricing_table.html", "original_content": "...", "revised_content": "..."}'
• Document output schema explicitly: 'Returns object with fields: diff_id (string), artifact_name (string), has_changes (boolean), added_lines_count (integer), removed_lines_count (integer), unified_diff_text (string), checksum_sha256 (string), diff_preview_url (string).'
• Add error handling: validate query_payload is valid JSON; return actionable error if parsing fails. Return error if artifact_name is empty or content fields are missing.
• Implement actual diff computation logic in mcp_server.py instead of returning hardcoded success. Currently tool is a stub that ignores input.