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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, covering the entire safety profile. The description adds no behavioral context beyond that – nothing about defaults, return shape, or the conditional geography requirements. It contributes only metric scope, which is purpose rather than behavior.

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?

Two compact sentences, front-loaded with the metric list, no filler. It could be tighter still since the second sentence is effectively a use-case list, but overall it reads efficiently.

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 8 parameters, only one required, and no output schema, the description is adequate but thin: it does not explain the level-dependent parameter requirements or what the returned figures look like. The rich schema compensates for parameter gaps, but a data-returning tool with no output schema leaves the agent guessing about response structure.

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 all 8 parameters (level enum, state/county/tract/msa/place/zcta codes, year default) are fully documented in the schema itself. The description references 'a US geography' but adds no syntax, hierarchy, or dependency detail beyond what the schema already provides, so the baseline 3 holds.

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 the specific data families (labor force, unemployment, commute times, transit usage, work-from-home) and the resource (US geography), so an agent understands it retrieves ACS commute/employment metrics. However, it never distinguishes itself from close siblings like census_demographics or census_income_housing, leaving the agent to infer the split.

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?

Three use cases (site selection, workforce analysis, commercial real estate) imply when the tool is relevant, but no alternatives are named and no when-not guidance is given. The agent must infer routing among the many census_* siblings.

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