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

No annotations are provided, so the description carries the full behavioral burden. It names the legal basis (PP 58/2023) but says nothing about what is returned (a rate percentage? a bracket label? a range?), how out-of-range or zero incomes are handled, or whether results are cached/static. For a lookup tool with zero annotation coverage this is a meaningful 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?

A single front-loaded sentence with no filler; it packs resource, inputs, and citation efficiently. Slightly dense but nothing wasted.

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 two simple required params and no nested objects the schema covers inputs well, but there is no output schema and no annotations, so the description should ideally describe the returned value's nature and units. It stops short of that, leaving the agent to guess what 'bracket' yields.

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% and both parameters are documented in the schema (category enum A/B/C, income_idr as monthly gross in rupiah). The description only restates the same semantics, adding no new meaning, so the baseline of 3 applies.

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 states a specific resource (PPh 21 effective average rate / TER bracket), the inputs it maps (monthly gross income + category), and the governing regulation (PP 58/2023), which an agent can distinguish from generic tax lookups. It does not, however, differentiate itself from plausible siblings like get_tax_rates or calculate_net_salary.

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?

There is no explicit when-to-use guidance, no prerequisites, and no routing to alternative tools such as calculate_net_salary (which likely consumes a TER) or get_tax_rates. The agent must infer the usage context entirely from the purpose statement.

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