5 tools with mixed quality. All have descriptions (10-200 chars, mostly adequate) and input schemas with typed parameters. However, schemas lack output documentation entirely, LLMs cannot plan downstream calls without knowing return structure. Parameter descriptions are present but often generic (e.g., 'List of lat,lng coordinate strings' without format validation). No error handling guidance, no recovery hints. Tool naming is clear (verb_noun pattern), but composition shows tight coupling: store_requirements writes session state that other tools implicitly depend on, violating single-responsibility. Baseline: 549 production tools average 194 chars description, 100% have param descriptions, this server meets that bar but lacks output schemas (0% documented) and error recovery patterns.

• Document output schema for each tool. Example for fetch_apartments: 'Returns {apartments: [{id, address, lat, lng, rent, bedrooms, bathrooms, url}], total_count, next_cursor}'. This enables agents to chain tools and extract required fields.
• Add format constraints to coordinate parameters: 'List of lat,lng pairs as strings, e.g., ["37.7749,-122.4194", "37.3382,-121.8863"]. Latitude -90 to 90, longitude -180 to 180, comma-separated, no spaces.'
• Refactor store_requirements: instead of writing hidden session state, return a requirements object that agents pass explicitly to fetch_apartments and check_commutes. This makes dependencies visible and testable.
• Add error handling guidance to tool descriptions. Example: 'If RentCast quota exceeded (429), falls back to Apify provider. If both fail, returns error with retry_after_seconds. If coordinates invalid, returns error with format example.'
• Unify parameter naming: use 'budget' consistently, and clarify per-person vs total in a single 'budget_mode' enum (total|per_person) rather than a boolean flag.