Ai Studio Generator Templates
AI-Studio-Generator-TemplatesList predefined templates.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
AI-Studio-Generator-TemplatesList predefined templates.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds no extra behavioral context such as return format, pagination, or static versus dynamic nature. It neither contradicts the annotations nor meaningfully enriches them, earning a baseline 3.
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 short sentence with no filler or redundancy. It is fully front-loaded, containing exactly the essential information in the fewest possible words.
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?
This is a simple no-parameter list tool, and the description is largely adequate for an agent to understand its basic function. The availability of an output schema covers return-value details. A minor gap is that the description does not explicitly tie the templates to the AI Studio Generator, but the tool name compensates. Overall, it is complete enough for the tool's low complexity.
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 tool has zero parameters, so there is nothing for the description to clarify. The baseline for 0-parameter tools is 4, and the simple phrase 'List predefined templates' aligns with the empty schema without needing further details.
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 uses a clear verb 'List' and a direct object 'predefined templates,' which is specific about the tool's action and resource. However, it does not explicitly distinguish that these templates belong to the AI Studio Generator beyond what the tool name suggests, so it is not a perfect 5.
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 provides no guidance on when to use this tool versus the many sibling template-listing tools (e.g., AI-Headshot-Generator-Templates, AI-Avatar-Generator-Templates). It lacks any mention of alternatives, exclusions, or context for use, leaving the agent to infer applicability.
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.