Detalle de un auto en arriendo
get_car_detailGet full detail for a Tuki rental car: transmission, seats, bags, min driver age, price per day, city, canonical URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Car slug. |
get_car_detailGet full detail for a Tuki rental car: transmission, seats, bags, min driver age, price per day, city, canonical URL.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Car slug. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds value by disclosing the specific fields returned (transmission, seats, bags, etc.), giving the agent a clear picture of the response structure beyond what annotations provide.
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 that front-loads the core purpose and enumerates key fields. No wasted words, every element contributes to understanding the tool's functionality.
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 no output schema, the description provides a comprehensive list of expected fields, making the tool predictable and complete for a read operation. The annotations cover safety, so no additional behavioral caveats are needed.
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 single parameter 'slug' is described in the schema as 'Car slug', which fully covers its meaning. The description does not add any additional semantic information about the slug format or usage, so it stays at the baseline for full schema coverage.
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 verb 'Get' and the resource 'full detail for a Tuki rental car', listing specific fields like transmission, seats, bags, min driver age, price per day, city, and canonical URL. This distinguishes it from sibling detail tools for other entity types.
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 this tool is for retrieving full details of a rental car when you have its slug, but it does not explicitly mention when to use it versus alternatives like search_car_rental or when not to use it. Sibling tools are similar in naming but for different entity types, so usage is implied rather than explicitly guided.
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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