get_ato_benchmarks

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

Since no annotations are provided, the description carries the full burden. It adds useful behavioral context: amounts are decimal strings, industry has a controlled vocabulary, and the operation is a comparison rather than a compliance finding. However, it does not explicitly say the tool is read-only, has no side effects, or describe error/edge behavior, leaving a moderate transparency gap.

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?

Three tightly written sentences front-load the main purpose, then provide parameter formatting and interpretation. There is no fluff; every sentence adds value and the structure is easy to scan.

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?

Given 13 parameters, no annotations, and an existing output schema, the description covers the essentials: what the tool does, how amount values are formatted, and where to get valid industry names. It could also state explicitly that the tool is read-only and does not modify data, but the operation is inherently a comparison, so the gap is minor.

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 0%, and the description compensates meaningfully: it says all amounts are decimal strings, which applies to almost all the optional bucket parameters, and that industry must be an ATO business-type name from list_ato_benchmark_industries. It avoids restating each parameter title while giving enough shared semantics to understand the optional fields.

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?

Description opens with a specific verb and resource: 'Compare bucket totals against ATO small-business benchmarks.' It also distinguishes itself from sibling tools by stating it is 'not a finding that anything is wrong' and points to list_ato_benchmark_industries for valid industry names, so an agent can tell this comparison tool apart from alternatives.

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 clearly implies when to use the tool: when comparing bucket totals to ATO small-business benchmarks. It also gives concrete usage guidance for the industry parameter by referencing list_ato_benchmark_industries. It does not explicitly state when-not-to-use alternatives or list exclusion cases, so it misses the top score, but the context is not misleading.

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