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

The annotations already declare read-only, idempotent, closed-world, and non-destructive behavior, so the safety profile is covered. The description adds meaningful context beyond annotations: HUD LIHTC source, placed-in-service years 2009-2018, estimated 15-year compliance periods, and the 2023-2032 reporting window.

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?

The definition is a single tightly written sentence that front-loads the aggregation purpose and then layers in temporal, geographic, and provenance details. Every clause contributes useful scoping information with no repetition or wasted words.

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?

For a simple one-parameter aggregation tool with no output schema, the description is complete enough to call correctly: it states the counted entities, year range, state/national coverage, data source, and underlying population. An agent does not need additional behavioral or return-shape detail to use this summary tool appropriately.

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%, so the single optional state parameter is already documented with format and national-totals behavior. The description reinforces that the tool works for one state or the whole US, but adds no syntax or semantic detail beyond the schema.

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 gives a specific verb (Counts) and precisely names the resources counted: tax credit properties, total units, and low-income units. It also defines the temporal scope (2023-2032), geographic scope (one state or whole US), and data source, making clear this is an aggregate summary rather than a property-level listing like find_year15_properties.

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 description implies when the tool is useful by stating what it counts and the year range, but it does not explicitly say when to choose it over sibling tools such as find_year15_properties, get_property, or year15_exit_options. No exclusions, prerequisites, or alternative-tool routing are provided.

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