Single tool 'execute_skill_action' has critical definition gaps. Description is present (97 chars) but vague, does not explain WHAT geospatial operations are supported, WHEN to use it, or what the output structure is. Input schema exists but parameter 'query_payload' is a bare string with minimal guidance (no format, no examples, no constraints). No output schema documented. Tool name uses 'execute' (generic verb) rather than domain-specific action like 'profile_catchment_area' or 'analyze_commercial_zone'. No error handling guidance. No parameter validation rules. Fails multiple critical checks: undocumented output, generic naming, insufficient parameter description.

• Rename tool to 'profile_commercial_catchment' or 'analyze_store_catchment_area' to reflect actual domain operation and help LLM infer intent from name alone.
• Replace 'query_payload' string parameter with structured parameters: store_id (string), store_latitude (number, -90 to 90), store_longitude (number, -180 to 180), radius_meters (number, 100-5000, default 800). Add descriptions for each.
• Document output schema explicitly in tool definition: return object with fields {profiling_id, store_id, estimated_resident_population, daytime_office_workers_density, commercial_viability_score (0-10), cannibalization_risk_pct (0-100), catchment_dossier_url}.
• Expand tool description to 150-200 chars: 'Analyze commercial viability of a retail location by profiling resident population, office worker density, and cannibalization risk within a specified radius. Returns a commercial viability score (0-10) and catchment dossier URL. Use this to evaluate new store locations or assess competitive overlap.'
• Add error handling: return structured error responses with actionable guidance, e.g., 'Invalid store_id: not found. Available stores: [list]. Try another store_id or call list_stores() first.'