List studio models
list_studio_modelsList the Studio image/video/audio model catalog (keys, pricing, capabilities, min plan). Pass a model's key to studio_generate_image/video/audio.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No |
list_studio_modelsList the Studio image/video/audio model catalog (keys, pricing, capabilities, min plan). Pass a model's key to studio_generate_image/video/audio.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false). Beyond that, the description discloses what the read actually returns (keys, pricing, capabilities, min plan), which is useful behavioral context about the payload rather than a restatement of the 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?
Two tightly written sentences: the first front-loads purpose and return content, the second supplies the follow-up action. No wasted words and nothing buried.
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 single-optional-parameter list tool with no output schema and full annotation coverage, the description supplies purpose, payload contents, and the next step. The only omission is clarifying the `mode` filter, which is a minor gap.
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?
Schema description coverage is 0% and the single `mode` enum parameter is never named or explained. The description's phrase 'image/video/audio' hints at the mode dimension but does not state that `mode` filters the catalog to one media type, so it only partially compensates for the coverage gap.
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+resource ('List the Studio image/video/audio model catalog') and enumerates the payload it returns (keys, pricing, capabilities, min plan). It also names the sibling generate tools that consume the key, so an agent can distinguish this discovery tool from the generation tools without opening either schema.
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 second sentence ('Pass a model's `key` to studio_generate_image/video/audio') makes the workflow and purpose clear: call this to obtain a key before generating. It gives concrete context but does not state explicit when-not conditions or name a competing alternative list tool.
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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