rtc_fundamentacao_legal

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

Annotations are absent, so the description carries the full burden of behavioral disclosure, yet it reveals almost no behavior: no statement of what input triggers what action, no indication of side effects (it is likely a read but that is never stated), no error behavior, and no return format. The value proposition ('what makes a number defensible') does not compensate for missing operational facts.

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 sentences, front-loaded with the core substance (the LC 214 legal basis) before the rhetorical closer. The second sentence adds tone rather than facts, but the definition stays short enough that this is a minor deduction rather than a serious bloat problem.

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 a single optional parameter and no output schema, the complexity bar is low, and the description does communicate the tool's domain purpose well. However, both operational unknowns — what to pass in `data` and what the response contains — are left unresolved, making the definition minimally viable but not reliably callable without further inference.

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?

With 0% schema coverage, the description is the sole source of parameter documentation, but it never explains `data`. The phrase 'um número' hints that a classification code is expected, yet the description does not state the format, the accepted values, or the fact that the parameter is optional with a null default. This leaves the agent guessing at invocation time.

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 a concrete deliverable — the legal basis (fundamentação legal) for tax classifications, tied to a specific statute (LC 214) — which distinguishes it from siblings that list classifications, compute rates, or validate codes. It falls short of a fully crisp verb+resource statement like 'returns the LC 214 provision supporting a given classification', and the closing metaphor 'transforma um número em posição defensável' is evocative rather than exact.

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?

No guidance on when to use this tool versus its 16 siblings. The description never states a selection condition such as 'use this when you need the legal citation behind a classification,' nor names any alternative to avoid. The use case must be inferred entirely from the purpose wording.

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