Ver catálogo da Essa é Minha
ver_catalogoModelos, cores, tamanhos, tabela de preço por quantidade, acréscimo do verso, prazos, frete e como comprar.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
ver_catalogoModelos, cores, tamanhos, tabela de preço por quantidade, acréscimo do verso, prazos, frete e como comprar.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and data locality are covered. The description usefully adds that the payload is an information bundle (price tiers, surcharge, deadlines, freight), but says nothing about return shape, size, or whether the listed prices are authoritative versus requiring calcular_preco.
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?
A single short sentence with no filler, and each listed item defines real scope. It is a bare noun list without a leading verb or grouping (info vs pricing vs logistics), so it is dense rather than optimally front-loaded.
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?
With zero parameters, a read-only annotation and no output schema, the description is nearly sufficient to know what comes back. However, in a six-tool purchase flow it never clarifies its relationship to calcular_preco or ver_disponibilidade, leaving an agent unsure whether the catalog's price table and lead times are definitive or merely indicative.
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?
The tool takes zero parameters, so the baseline is 4; there is nothing parameter-related for the description to compensate for. No misleading parameter hints are present.
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 enumerates exactly what the catalog returns (models, colors, sizes, price table by quantity, back-side surcharge, lead times, shipping, how to buy), which tells an agent this is a static product/info lookup. The verb is carried only by the name/title ('Ver catálogo'), and nothing in the text distinguishes it from siblings like calcular_preco or ver_disponibilidade, which also touch pricing and lead times.
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?
There is no explicit statement of when to call this versus calcular_preco, ver_disponibilidade, or montar_link_de_compra — all plausible adjacent steps in a purchase flow. The 'como comprar' item faintly implies a starting-point role, but the agent must infer that; no conditions or exclusions are given.
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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