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

With no annotations, the description carries the full burden of behavioral disclosure. It does explain the core check logic, required vs optional parameters, and the exact naming requirement. However, it does not disclose the return format (e.g., boolean), how multiple conditions combine, or whether any external calls or side effects occur, leaving some important behavior implicit.

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 a single dense paragraph plus one instructional sentence, with no filler. It front-loads the purpose and thresholds, then the parameters. While compact and information-dense, a bulleted list would improve scannability, but nothing is redundant or 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?

For a tool with 7 parameters, no output schema, and no annotations, the description covers purpose, thresholds, and parameter roles well. However, it omits the return type and does not explain edge cases such as how defaults (e.g., 0 for optional numeric params) affect the outcome, or what happens if thresholds are exactly at the boundary. This leaves an agent with reasonable but not complete understanding.

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 100%, so the baseline is 3. The description adds value by mapping each rule to the parameter names, emphasizing that taxable_income is mandatory while others are optional, and instructing agents to use the exact English names. This helps agents connect user intent in Portuguese to the correct schema properties, going beyond what the schema alone provides.

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 the specific verb 'Verifica' with a clear resource: whether a person is required to file income tax under DIRPF 2025. It lists concrete thresholds and rule categories (taxable income, exempt income, assets, stocks, capital gain, rural revenue, residency), which unambiguously distinguishes it from sibling tools like simulate_income_tax or get_irpf_table.

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 states when to use the tool: to verify mandatory income tax filing obligation based on given financial data. It provides a clear context but does not explicitly exclude alternatives or name when-not-to-use cases, such as 'for calculating tax amount, use simulate_income_tax'. Still, the scope is well-defined enough for an agent to infer appropriate use.

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