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Werverton
by Werverton

buscar_nos_artigos

Search a term or concept across extracted articles to see how different authors address it. Returns contextual excerpts with ABNT references for building theoretical framework.

Instructions

Busca um termo ou conceito em TODOS os artigos extraídos. Retorna os trechos onde o termo aparece, com o contexto ao redor e a referência ABNT do artigo. Essencial para encontrar como diferentes autores abordam um mesmo tema e construir o referencial teórico.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termoYesTermo ou frase a buscar (ex: 'inteligência artificial', 'estudo de caso')
artigosNoIDs dos artigos para buscar, separados por vírgula (ex: 'silva2023,oliveira2024'). Deixe vazio para buscar em todos.
contextoNoNúmero de caracteres de contexto ao redor de cada ocorrência (padrão: 200)
max_resultadosNoNúmero máximo de resultados por artigo (padrão: 5)
Behavior2/5

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

No annotations are provided, so the description must carry full burden. It only mentions the return type (trechos, contexto, referência ABNT) but lacks details on behavior such as synchronicity, rate limits, destructiveness (likely read-only), or pagination. Minimal behavioral disclosure.

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?

Two sentences, front-loaded with the main action, no wasted words. Efficiently conveys the core purpose and value.

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

Completeness4/5

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

Given no output schema and no annotations, the description covers the essential action and output type. However, it lacks details on the exact structure of returned data and any constraints, which would be beneficial for a tool with 4 parameters.

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?

Schema description coverage is 100%, so baseline is 3. The description adds no additional meaning beyond what the schema already provides for each parameter; it only reinforces the general purpose.

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

Purpose5/5

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

The description uses a specific verb ('Busca') and resource ('todos os artigos extraídos'), clearly stating the tool's function. It distinguishes itself from siblings like 'listar_artigos' by focusing on searching within article content, and explains the output (snippets with context and ABNT reference).

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

Usage Guidelines4/5

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

The description provides clear context for use ('essencial para encontrar como diferentes autores abordam um mesmo tema e construir o referencial teórico'), but does not explicitly state when not to use or mention alternative tools.

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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