delete_model
Permanently remove a model from the Rockfish AI platform by supplying its model ID.
Instructions
Delete a model
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Model ID |
Permanently remove a model from the Rockfish AI platform by supplying its model ID.
Delete a model
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Model ID |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether deletion is permanent or recoverable, whether the model must be inactive/untrained, what permissions are required, or what happens to dependent workflows. For a destructive operation this is a serious gap.
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 single sentence is short but that brevity reflects under-specification rather than efficiency. There is no wasted clause, but there is also no information the agent could not get from the tool name alone.
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 an irreversible mutation tool with zero annotation coverage and no output schema, the description should at minimum flag destructiveness and any preconditions. It supplies none of that, leaving the agent unable to assess risk before calling.
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?
Only one parameter with 100% schema description coverage, so the schema fully documents the 'id' field. The description adds no meaning beyond it, which is the expected baseline when the schema does the work.
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?
States a specific verb and resource ('Delete a model'), which is enough to separate it from delete_dataset and delete_database among the siblings. However, it is essentially a restatement of the tool name with no added scope, constraints, or differentiation from other delete operations.
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 when-to-use guidance, no prerequisites, and no mention of alternative tools (e.g., list_models or get_model to confirm the target first). Usage is only implied by the verb.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.