get_census_place_breakdown

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

With no annotations, the description describes parent/child geography behavior, source of data, and optional parameters, but it does not disclose potential failure modes, pagination, or explicit read-only status. It is adequate but lacks deeper behavioral context.

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 description is three sentences: the main purpose, a concrete example, and parameter definitions. It is front-loaded, free of filler, and every sentence adds value.

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?

The output schema covers return values, and the description provides purpose, example, source, and parameter semantics. It is fairly complete for an agent to select and invoke the tool, though it lacks explicit guidance on alternatives or limitations.

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%, yet the description compensates by explaining every parameter: fips as parent FIPS, metric as canonical_name, dataset with allowed values ('acs1' or 'acs5'), and year as optional. It adds meaning beyond bare property names, though format details for fips/metric are light.

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 uses a specific verb ('break down') and clearly identifies the resource: a US Census metric across child geographies of a parent place. The state-FIPS-to-counties example makes the scope concrete and differentiates it from sibling tools like get_census_place_metrics or explore_census_geographies.

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?

It provides a clear example of when to use the tool (state FIPS to get county-level metrics) but does not explicitly name alternatives or state when not to use it. The context is sufficient to infer the intended use case, but exclusions are absent.

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