List VULK Models
list_modelsList AI models available to your VULK account for use in application development.
Instructions
List AI models available to the authenticated VULK account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_modelsList AI models available to your VULK account for use in application development.
List AI models available to the authenticated VULK account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint. Description adds only the authentication scope. Lacks details on return format or pagination, which are not critical given no params and good annotations.
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?
Single, clear sentence with no unnecessary words. Front-loaded with purpose.
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?
Given no parameters, no output schema, and read-only annotations, the description fully covers what the agent needs: a state-query tool listing models for the current user.
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?
No parameters exist, so schema coverage is 100%. Description adds nothing beyond schema, but baseline for 0 params is 4.
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?
Clear verb 'List' with specific resource 'AI models' and scope 'available to the authenticated VULK account'. Differentiates from sibling 'list_projects' by specifying models.
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 guidance on when to use this tool versus alternatives like 'models' or 'list'. For a simple list tool, minimal guidance is acceptable, but no exclusions or context provided.
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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