List photo themes
list_photo_themesList Photo AI Studio photo theme categories (professional headshots, dating, wedding, graduation, and many more) with the URL of each category page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_photo_themesList Photo AI Studio photo theme categories (professional headshots, dating, wedding, graduation, and many more) with the URL of each category page.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing a safe read-only operation. The description adds minor context by noting the return of category page URLs, but it does not disclose anything deeper such as pagination, ordering, or coverage limits. No contradiction with 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?
The description is a single information-dense sentence with the verb and resource front-loaded, followed by concrete examples and the return format. Every element earns its place with no filler.
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 zero-parameter, read-only listing tool with annotations covering the safety profile, the description adequately conveys what is returned (theme categories and page URLs). It could be slightly more complete by clarifying the boundary with browse_themes, but the low complexity lowers the bar.
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 and schema coverage is 100%, so the description has no parameter burden to carry. Per the rubric, a 0-parameter tool earns a baseline of 4, and the description appropriately focuses on the result rather than inputs.
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 states a specific verb and resource: 'List Photo AI Studio photo theme categories' with concrete examples (professional headshots, dating, wedding, graduation) and the return value (URL of each category page). It is clear about what the tool does, though it does not explicitly differentiate itself from the sibling browse_themes.
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 usage context is implied: an agent would call this to get a catalog of photo theme categories with their URLs. However, there is no explicit guidance on when to choose this over browse_themes or any other alternative, and no exclusions or prerequisites are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.