top_offers
Retorna as principais ofertas vigentes publicadas pelo Menor Preço Hoje em Lages, Santa Catarina.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retorna as principais ofertas vigentes publicadas pelo Menor Preço Hoje em Lages, Santa Catarina.
| 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?
No annotations are provided, so the description carries the burden. It usefully discloses that the offers are current ('vigentes') and location-scoped, and 'Retorna' implies a read operation. Still, it does not explain how 'principais' is determined, whether results are paginated, or how fresh the data is — acceptable but not rich.
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 compact sentence with no filler. It front-loads the action and includes only meaningful details: source, recency, and geographic scope.
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?
For a parameterless tool with no output schema, the description gives enough context to decide to invoke it: it returns current top offers from a named source in a named city. It would be fully complete if it defined what 'principais' means (e.g., by price, popularity, or recency), but invocation itself requires no further information.
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 input schema has zero parameters and full schema coverage, so there is nothing for the description to add about parameter meaning. For a 0-parameter tool, the baseline is 4, and the description's contextual scope (Lages, Santa Catarina) reinforces why no parameters are needed.
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 states a clear verb ('Retorna') and a concrete resource: the main active offers published by Menor Preço Hoje in Lages, Santa Catarina. It is unambiguous about what the tool returns, though it does not explicitly differentiate it from siblings such as search_offers or best_price.
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 when to use the tool: when a user wants the main current offers from Menor Preço Hoje in Lages. However, it does not state when not to use it or point to alternatives like search_offers for broader/filtered searches or compare_offers for comparisons, so the guidance remains implicit.
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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