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Mapear Dados Sensíveis

mapear_dados_sensiveis

Identify sensitive data categories under LGPD Art. 11 by analyzing treatment context and suspected data categories, enabling compliance.

Instructions

Ajuda a identificar categorias de dados sensíveis conforme Art. 11º LGPD

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextoNoContexto do tratamento para análise
categorias_informadasNoCategorias de dados que você suspeita serem sensíveis (separadas por vírgula)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it helps identify categories; it does not disclose whether this is a read-only analysis, what the output looks like, or any prerequisites. The legal reference provides context but not behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the main purpose. There is no wasted text or redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is relatively simple with two optional parameters and no output schema. The description conveys the core purpose but lacks details about return values or usage context. While not ideal, it is minimally adequate for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Both parameters have descriptions in the schema, providing 100% coverage. The description does not add additional parameter context beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: to help identify categories of sensitive data according to Art. 11 of the LGPD. The verb 'identify' and resource 'categories of sensitive data' are specific, and the legal reference adds scope. It doesn't explicitly contrast with sibling tools, but the purpose is distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives. The usage is implied by the name and description: use it when you need to map or identify sensitive data categories. However, no exclusions or alternative tool references are provided.

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

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