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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful content context by listing the returned metrics, but it does not disclose operational behavior such as output granularity, wildcard handling, or the fact that results correspond to a single ACS year.

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 two sentences, front-loaded with the most important information (the exact metrics), and closes with relevant use cases. There is no filler or redundant repetition of the schema.

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 an 8-parameter tool with no output schema, the description is adequate but not complete: it tells an agent what data to expect and why it might be used, but it does not mention that results are for the selected geography/year, how geographies are identified, or that only one level should be selected. The schema covers parameters, so this is not severely deficient, but there is clear room for more operational context.

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 baseline is 3: the schema already documents every parameter, including required geography codes and wildcard usage. The description adds domain context about the metrics themselves but does not meaningfully enhance parameter-level semantics 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 clearly identifies the tool as a provider of income, housing, and rental metrics for US geographies, enumerating the exact data returned. It does not use an explicit verb like 'retrieve' or 'get', and it does not contrast itself with sibling census tools, so it stops short of a 5.

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 gives broad use cases ('real estate AI, market analysis, location-based pricing'), which imply when an agent might want it, but it provides no explicit guidance on when to choose this over sibling tools like census_demographics or census_population, and no when-not-to-use conditions.

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