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Avaliar

avaliar

Avalia uma ideia de negócio pela quantidade de empresas cadastradas (CNAE + lugar → contagem de ativas). Não estima busca no Google. POST /api/avaliar. É o primeiro produto da home. Devolve o CNAE a que a ideia foi mapeada, quantas empresas ativas, abertas e baixadas existem no recorte, como elas se formalizam e uma leitura honesta disso. Não inventa volume de busca e não promete demanda: ficha.limites diz o que os números não dizem. Renda passiva isto não é.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ufNoHint de UF se a frase não tiver cidade.
textoYesIdeia em português, 3–400 caracteres.
municipioNoHint de código de município da Receita.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and idempotentHint=false, and the description adds substantive behavioral context beyond that: it enumerates the return payload (mapped CNAE, active/opened/closed counts, formalization) and discloses caveats via ficha.limites. It does not explain the non-read-only/non-idempotent side effect (e.g., any credit or record implication of the POST), which keeps it from a 5.

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

Conciseness3/5

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

The core purpose is front-loaded well, but the 'no Google search volume' disclaimer is made twice ('Não estima busca no Google' and '**Não inventa volume de busca**'), and the closing line 'Renda passiva isto não é' is editorial rather than operational. Several sentences do not earn their place.

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?

With no output schema, the description correctly carries the return-value burden by listing what comes back and pointing to ficha.limites for caveats, so an agent knows what to expect. It is nearly complete, missing only any note on auth/cost or how the optional uf/municipio hints affect results.

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 texto, uf and municipio are already documented in the schema; the description only indirectly gestures at them ('CNAE + lugar'). Baseline 3 applies — no added syntax, format or constraint detail beyond the schema.

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?

States a specific verb and resource ('Avalia uma ideia de negócio pela quantidade de empresas cadastradas') and pins the exact computation (CNAE + lugar → contagem de ativas), plus the endpoint POST /api/avaliar. It also carves out scope negatively ('Não estima busca no Google'), which separates it from search, suggest and ia_filters among the siblings.

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?

It gives clear context ('É o primeiro produto da home') and a when-not ('Não estima busca no Google'), so an agent knows it is for company-count evaluation rather than keyword/search-volume work. It never names an alternative sibling explicitly, so it falls short of a 5.

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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