Two tools with complete schemas and reasonable descriptions. Naming follows verb_noun convention (list_, get_). However, descriptions lack actionable context for LLM selection, parameter descriptions are minimal (many under 20 chars), and no output schema documentation. Error handling is absent, no guidance on retryability, user-fixable errors, or recovery paths. Missing tool annotations (readOnlyHint). Schemas are well-formed JSON Schema with types, but lack constraints (enums, min/max bounds) that would prevent hallucinated values.

• Add enum constraints to property_type (bostadsratt|villa|radhus|fritidshus) and sort (price_per_sqm_asc|brf_loan_asc|brf_trend_desc|school_index_desc|fee_per_sqm_asc|listed_date) in the JSON Schema. This prevents hallucinated values and makes valid options machine-parseable.
• Document output schemas for both tools. E.g., list_advertisements returns {advertisements: [{id, address, price, area_m2, rooms, brf_loan_per_m2, brf_trend, school_index, ...}], total_count}. This enables LLMs to plan chained calls and extract relevant fields.
• Add numeric bounds to schema: limit (minimum: 1, maximum: 10), min_price/max_price (minimum: 0), radius_m (minimum: 100, maximum: 50000). Bounds prevent invalid API calls and guide LLM reasoning.
• Expand tool descriptions to 100-150 chars explaining WHEN to use each tool. E.g., 'Search live Swedish property listings by price, size, BRF financials, and school quality. Use this to find properties matching buyer criteria; returns up to 10 results sorted by value, debt, appreciation, or schools.'
• Add error handling: catch httpx exceptions (timeout, connection error) and return structured errors like {error: 'API timeout after 15s', retryable: true, suggestion: 'Try again in 30s'} instead of raw JSON. This guides LLM recovery.