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list_avatars

Retrieve your saved AI avatars for product photo generation in PixelPanda MCP Server.

Instructions

List your saved AI avatars (for use in product photo generation).

Requires PIXELPANDA_API_TOKEN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions an authentication requirement ('Requires PIXELPANDA_API_TOKEN'), which is useful context, but it doesn't describe other behavioral traits like rate limits, pagination, or what happens if no avatars exist. This is a minimal but adequate disclosure given the lack of annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two short sentences that each serve a clear purpose: stating the tool's function and noting an authentication requirement. It's front-loaded with the main purpose. A point is deducted because the second sentence could be integrated more smoothly, but overall it's efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (0 parameters, no annotations, but has an output schema), the description is reasonably complete. It covers the purpose and authentication need, and since an output schema exists, it doesn't need to explain return values. However, it could benefit from more behavioral context (e.g., response format hints) to achieve a perfect score.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, and the schema description coverage is 100%, so no parameter information is needed. The description appropriately doesn't discuss parameters, earning a baseline score of 4 for not adding unnecessary details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('List') and resource ('your saved AI avatars'), and provides context about their use ('for use in product photo generation'). However, it doesn't distinguish this tool from its siblings (like 'list_jobs' or 'list_products'), which would require a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a prerequisite ('Requires PIXELPANDA_API_TOKEN'), which provides some usage context, but it doesn't offer guidance on when to use this tool versus alternatives (e.g., compared to 'list_jobs' or 'list_products') or any explicit exclusions. This leaves gaps in usage guidance.

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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