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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the data is 'live' and scoped to US metros on Enzo's, but says nothing about behavior on ambiguous or unknown metro names, data recency, or coverage limits.

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?

A single tight sentence that front-loads what the snapshot contains, then closes with the input format. Every clause carries information; nothing is padding.

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?

With an output schema present, return values needn't be explained, yet the description still previews them helpfully, and the one required input is exemplified. The only gap is guidance on how to handle city-vs-metro ambiguity or non-US input.

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 100% and the single parameter already carries its own description and examples, so the description merely restates the same 'Austin, TX' style example. With one fully documented parameter, the schema does the heavy lifting and no additional semantic value is added.

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?

The description states a specific resource (a US metro's for-sale market snapshot) plus the exact metrics returned — inventory count, 5th/median/95th percentile price, and common architectural styles. It never names a sibling (e.g. below_market_deals also concerns market pricing), so the agent must infer the boundary from names alone.

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?

Usage is implied: use it when you need aggregate market-level stats for a metro rather than individual listings. There is no explicit when-not guidance and no pointer to below_market_deals or search_homes as the alternatives for listing-level queries.

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