deleteModel
Delete a fine-tuned model. You must have the Owner role in your organization.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model | Yes | ||
| x-hapi-auth-state | No |
Delete a fine-tuned model. You must have the Owner role in your organization.
| Name | Required | Description | Default |
|---|---|---|---|
| model | Yes | ||
| x-hapi-auth-state | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses a required role (Owner) but does not mention irreversibility of deletion, potential cascading effects, or what happens to associated resources. This is a key gap for a destructive operation.
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 one sentence with a clear action and a key prerequisite. It is front-loaded and every word earns its place, achieving high conciseness without unnecessary detail.
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?
Despite being a simple delete operation, the description lacks important context such as response format, whether the operation is asynchronous, error conditions, or clarification of the auth-state parameter. Given the sparse schema and no annotations, the description does not adequately complete the picture.
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 no descriptions for the parameters (0% coverage), and the description does not explain what 'model' should contain (e.g., model ID or name) or the purpose of 'x-hapi-auth-state'. The description adds no parameter-level meaning beyond the verb itself.
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 'Delete a fine-tuned model' with a specific verb and resource, distinguishing it from sibling tools like retrieveModel and listModels. It also adds the targeted object type (fine-tuned model), which is precise.
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 (when you need to delete a fine-tuned model) and states a prerequisite (Owner role), but does not explicitly contrast with alternatives or provide when-not-to-use guidance. Since no sibling is a delete operation, the context is clear but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action: image creation vs. editing vs. variation, audio transcription vs. translation, moderation, and model management. Even the closely related image tools are clearly differentiated by their function (generate, edit, vary).
All tool names follow a consistent camelCase verb_noun pattern: create*, deleteModel, listModels, retrieveModel. The verbs are specific to the action (create, delete, list, retrieve) and the nouns correspond to the target resource.
The 9 tools are well-scoped for the domains they cover: image generation, image manipulation, audio processing, moderation, and model management. Each tool serves a distinct purpose without unnecessary overlap or bloat.
The tool set lacks the core OpenAI functionality of text generation (e.g., chat/completions or completions). This is a major gap for a server named 'OpenAI Tools', as agents cannot perform basic language model requests. The image, audio, and moderation tools are reasonably complete, but the overall surface is severely incomplete.