ifood_vendas_cardapio
Retorna o catálogo/cardápio da loja no iFood (produtos, categorias e preços).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retorna o catálogo/cardápio da loja no iFood (produtos, categorias e preços).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the operation read-only, idempotent, and non-destructive. The description adds the specific return content (products, categories, prices), which helps the agent anticipate the data shape. No additional caveats are given, but for a simple read-only tool the annotations cover the key safety profile.
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?
The description is a single, front-loaded sentence with no extraneous words. It directly states what the tool does and is easily parsable.
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?
The tool is simple, has no parameters, and benefits from strong annotations. The description clearly specifies the output domain (catalog with products, categories, prices), making it complete for selection and invocation in this context.
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 requires no parameters, so the description contributes nothing to parameter semantics. Per the rubric, a zero-parameter tool receives a baseline of 4, which is appropriate here.
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 clearly states the tool returns the store's iFood menu/catalog (products, categories, prices), which is a specific verb+resource and distinguishes it from sibling tools that handle orders, availability, or financial data.
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?
The description implies the tool should be used when the catalog/menu is needed, but it does not explicitly mention alternatives or state when not to use it. No sibling tools are named, so the usage guidance is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each iFood-specific tool targets a distinct resource (catalog, availability, financial summary, store, order detail, order list, transactions). The generic platform tools (authenticate, connect, marketplace, etc.) are also distinct. The only slight overlap is between connect and authenticate, but their descriptions clearly separate connection status from token-based login.
Names are all snake_case but follow mixed patterns. The iFood tools use a consistent 'ifood_vendas_' prefix followed by nouns or noun phrases (cardapio, disponibilidade, financeiro_resumo, pedido_detalhe). Platform tools use imperative verbs (authenticate, connect, report_bug) or descriptive names (toolkit_info). No uniform verb_noun convention exists across the set.
13 tools is within a reasonable range, but 6 of them (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) are generic platform utilities unrelated to iFood. This makes the server feel like a mixed bag rather than a focused iFood integration, reducing appropriateness for the server's stated purpose.
The iFood tools cover read-only workflows: catalog, availability, financial summary, store data, order listing, order detail, and financial transactions. However, there are no write operations (e.g., update menu, cancel order) and no search/filter capabilities beyond basic period-based listing. Core read operations are covered, but the surface is incomplete for full lifecycle management.