Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds real behavioral context beyond that: the data origin (Dubai Land Department open data, updated daily, CC BY 4.0), that monthly price history may be truncated, and that each response carries a source URL.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and required inputs, then the returned fields and provenance. Dense but every clause earns its place; the inline 'type: a | b | c' enumeration slightly interrupts flow but is useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, yet the description enumerates the substantive return fields (price and AED/sqft medians, YoY changes, off-plan share, bedroom breakdown, price history, developer projects) plus provenance and truncation caveat. Nothing an agent needs to call or interpret results is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and there are no enums in the schema, so the description carries the full burden and does it: it defines slug with a concrete example and supplies the four allowed type values, which are absent from the structured fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (get) and resource (full statistics record) and enumerates exactly which entity kinds it covers (project, community, developer, area). An agent can distinguish it from get_market_summary or get_monthly_report without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The slug definition ('the last part of its page address, e.g. dubai-marina') makes the required input directly actionable and tells the agent which entity scope to pick. It does not explicitly state when to prefer a sibling such as get_market_summary, so the routing is clear but not fully comparative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.