theta_list_models
List available AI models on Theta EdgeCloud to find suitable models for inference tasks.
Instructions
List available AI models on Theta EdgeCloud.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available AI models on Theta EdgeCloud to find suitable models for inference tasks.
List available AI models on Theta EdgeCloud.
| 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 clearly indicates a read-only list operation with no destructive side effects. However, it does not mention authentication or rate limits, which are minor omissions for a simple list tool.
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 sentence that is well-front-loaded and contains no unnecessary words or details. Every word earns its place.
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 tool with no parameters and no output schema, the description is complete enough. It states the tool's purpose clearly. It could optionally mention the format or categories of models, but not essential.
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?
There are no parameters, and schema coverage is 100%. The description adds no parameter information, but none is needed. Baseline for zero parameters 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?
The description clearly states the action 'List' and the resource 'available AI models on Theta EdgeCloud'. It is specific and distinguishes from sibling tools like 'list_entities' or other Theta tools.
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 does not provide explicit guidance on when to use this tool versus alternatives. It is implied that it is for listing Theta models, but no exclusions or context are given.
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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