kivest_models
List available AI models and their rate limits to select the appropriate model for your search queries.
Instructions
List available AI models and their rate limits
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available AI models and their rate limits to select the appropriate model for your search queries.
List available AI models and their rate limits
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only says 'List', implying a read-only operation, but does not disclose response format, pagination, authentication requirements, or any other behavioral details. It adds minimal context beyond the verb.
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 redundant words. Every word contributes meaning, making it highly concise and well-structured.
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 simple list tool with no output schema or annotations, the description adequately names the data returned (models and rate limits) but does not describe the return format or any constraints. It is minimally viable but lacks details that would help an agent anticipate the response structure.
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 has zero parameters, so there is nothing to explain about parameter semantics. The description correctly omits parameter details, and the schema coverage is complete by default.
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 what the tool does: 'List available AI models and their rate limits'. The verb 'List' is specific and the resource 'available AI models and their rate limits' is distinct, differentiating it from sibling tools that handle search or usage.
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?
No explicit guidance on when to use this tool versus alternatives. The context implies it is the go-to for model listings, but the description does not mention exclusions or alternatives, leaving usage guidance 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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