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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds practical value by enumerating the returned measures, but says nothing about data vintage/ACS coverage caveats, rate limits, or suppression of small geographies.

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 the actual data measures in the first sentence, which is the most useful part. The trailing sentence about 'real estate AI' is weakly informational but short enough not to bloat the definition.

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?

There is no output schema, so the description carrying the enumerated metric list is valuable for telling the agent what it will receive. With 8 parameters and a geography-hierarchy requirement, and annotations covering the safety semantics, this is reasonably complete, though geography-level prerequisites and data vintage are left entirely to the schema.

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 description coverage is 100% with per-parameter docs and an enum for 'level', so the schema already carries parameter semantics. The description adds no parameter-level detail (e.g. how level conditions the required msa/zcta/place/county params), so the baseline 3 applies.

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 names a concrete resource set (median household income, per capita income, housing units, occupancy, home value, rents) for 'a US geography', so an agent knows exactly what data comes back. It does not, however, name or distinguish itself from overlapping siblings such as realestate_home_values, realestate_rents, or census_demographics, which an agent would have to resolve by trial.

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?

'Used for real estate AI, market analysis, location-based pricing' implies a usage context, so the intent is inferable. But it gives no when-to-use/when-not guidance and never mentions the closely overlapping census and realestate siblings, leaving selection ambiguous.

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