Tool definitions are present with schemas and descriptions, but quality is inconsistent. All 7 tools have descriptions (10-100 chars, mostly adequate) and input schemas with type definitions. However, parameter descriptions are sparse or missing entirely. For example, smartspawn_run_create has 8 parameters but only 'task' and 'mode' have descriptions in the schema; 'budget', 'context', 'collectiveCount', 'role', and 'merge' lack parameter-level descriptions. This forces LLMs to infer meaning from names alone. Error handling is minimal, tools return JSON error objects but lack recovery guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) are present. Output schemas are not documented, so LLMs cannot predict response structure for chaining. Naming is verb-forward and clear (run_create, run_status, run_result, run_cancel, run_list, artifact_get, health), following the verb_noun convention well.

• Add descriptions to all parameters in smartspawn_run_create schema: 'budget' (enum: low|medium|high|any, controls model tier), 'context' (project context tags for filtering), 'collectiveCount' (number of models to spawn in collective mode), 'role' (persona and constraints for sub-agents), 'merge' (output merging strategy and model).
• Document output schemas for all tools. Example for smartspawn_run_create: {run_id: string, status: string, created_at: ISO8601}. This enables LLMs to chain tools and extract required fields.
• Add tool annotations: mark smartspawn_run_create and smartspawn_run_cancel as destructiveHint=true; mark all read tools (run_status, run_result, run_list, artifact_get, health) as readOnlyHint=true.
• Enhance error messages with recovery guidance. Instead of 'run not found: xyz', return 'Run xyz not found. Call smartspawn_run_list to see available runs, or check the run_id spelling.'
• Document pagination for smartspawn_run_list: specify max result count, whether results are sorted by creation date, and whether a next_cursor or total_count is returned.