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research_web

Search the web with a full natural-language question and get a summary with cited sources. Use for uncertain facts or topics that may have changed over time.

Instructions

Pesquisa na web e devolve um resumo com fontes.

Use para qualquer informação que você não saiba com certeza — e também quando acha que sabe mas o assunto pode ter mudado desde o seu treino: nesses casos, prefira pesquisar a responder de memória. Passe a pergunta completa em linguagem natural — a busca, a leitura das páginas e o resumo são feitos internamente.

UMA CHAMADA POR PERGUNTA. Esta ferramenta já reformula a pergunta em vários ângulos de busca por dentro, roda todos em paralelo e lê as melhores páginas do conjunto. Chamar de novo com a mesma pergunta escrita de outro jeito não traz material novo: relê as mesmas páginas e gasta o mesmo tempo outra vez. Só chame outra vez quando a pergunta for genuinamente outra, ou quando o resumo apontar o que faltou. Pergunta NOVA do usuário = chamada nova, mesmo que seja sobre o mesmo assunto de antes: cada pergunta diferente merece sua própria pesquisa.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesA pergunta completa em linguagem natural, do jeito que o usuário faria. Não reduza a palavras-chave nem parta em pedaços: a reformulação em termos de busca é feita aqui dentro, e uma pergunta inteira dá um resultado melhor que um fragmento.
recentNoTrue apenas quando a resposta depende do dia de hoje (clima, cotação, placar, notícia de agora). False para fatos estáveis (história, biografia, conceitos, documentação), pois filtrar por data descarta as fontes boas.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it delivers: it discloses that the tool internally reformulates the query into multiple search angles, runs them in parallel, reads the best pages, and summarizes. It also reveals that calling again with the same question yields no new material, which is a significant behavioral trait. This goes far beyond a basic purpose statement and provides actionable insight for the agent.

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

Conciseness4/5

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

The description is front-loaded with the core purpose ('Pesquisa na web e devolve um resumo com fontes') and then provides essential usage and behavioral guidance. It is somewhat verbose, especially the repeated explanation of one-call-per-question, but every sentence adds value. It is well-structured into coherent paragraphs, though it could be tightened.

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

Completeness5/5

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

The tool is relatively simple (search + summarize), and the description covers when to use it, how to phrase the query, and the one-call-per-question rule. The output schema exists, so the description does not need to explain return formats. Annotations are absent, but the description provides all necessary behavioral context for an agent to call the tool correctly. Nothing essential is missing.

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 coverage is 100% – both 'query' and 'recent' have detailed descriptions in the schema. The description's instructions on passing the full natural-language query are already present in the schema, so it adds little over the structured definitions. The baseline of 3 is appropriate because the schema already explains parameters thoroughly.

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 'Pesquisa na web e devolve um resumo com fontes' (searches the web and returns a summary with sources), which is a specific verb and resource. It clearly differentiates from 'read_url' and 'analyze_urls' by focusing on autonomous searching rather than processing given URLs, though it does not explicitly name the siblings. The purpose is unambiguous.

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 gives explicit when-to-use guidance: 'Use para qualquer informação que você não saiba com certeza' and 'quando acha que sabe mas o assunto pode ter mudado' – effectively stating to use this tool instead of memory when uncertain or potentially outdated. It also provides a clear when-not-to-call repeatedly: 'Só chame outra vez quando a pergunta for genuinamente outra'. However, it does not explicitly mention alternatives like read_url or analyze_urls, so it stops short of full alternative routing.

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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