ryla_account_gallery_list
List the authenticated user's most recent generated images/jobs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max number of items to return (default 20, max 50) |
List the authenticated user's most recent generated images/jobs.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max number of items to return (default 20, max 50) |
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?
No annotations are present, so the description carries the behavioral disclosure burden. 'List' conveys a read-only operation and 'authenticated user's' signals access scope, but it does not mention return shape, pagination details, or implications of the limit parameter. These gaps are moderate rather than severe for a read-only list tool.
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?
One concise sentence with no fluff or repeated schema information. It is front-loaded with the action and resource, making it easy to scan.
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?
Given the low complexity (one optional parameter, no nested objects) and no output schema, the description gives a reasonable impression of what is returned without being overly long. It could be more complete by specifying the response format, but for this tool the description is adequate.
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 schema fully documents the only parameter (limit: min 1, max 50, default 20), so the description needs to add nothing. The description does not mention limit, but schema coverage is 100%, meeting the baseline.
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 ('List') and resource ('the authenticated user's most recent generated images/jobs'), so its purpose is clear. It does not explicitly differentiate from siblings such as ryla_generation_status, and 'images/jobs' is slightly ambiguous, which keeps it from a 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?
There is no guidance about when to prefer this tool over alternatives like ryla_generation_status or ryla_generate_image. The context implies 'when you want recent generated items,' but no explicit when-not or alternative selection is provided.
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.
Most tools map to a distinct generation type or resource, and the ryla_generate_* family is easy to partition by output type. The main ambiguity is ryla_generate_base_image vs ryla_generate_image, but the description for ryla_generate_image explicitly positions it as the primary Studio tool and clarifies the required characterId.
The ryla_ prefix and snake_case are applied consistently, and generate_* forms a clear pattern for most action tools. A few names deviate from the verb_noun pattern (ryla_generation_status, ryla_server_info, ryla_account_credits_balance), but they are still predictable.
At 11 tools, the set is well-scoped for a media generation server: generation types, status polling, account checks, and character lookup are each covered. The count supports the domain without feeling bloated.
The generation lifecycle is well-covered: jobs can be submitted, polled, status checked, and outputs viewed via the gallery. However, character management is almost entirely absent: there is no way to create, update, or delete a character through the MCP, and the list_characters description explicitly pushes creation to the external app, leaving a notable workflow gap.