List Thrixel models

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

No annotations are provided, so the description carries the full burden. It explains the ordering (newest first) and suggests the tool can recover submission_ids, but lacks details on pagination, result limits, or behavior on empty results, which are typical for a list operation.

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 concise, consisting of two efficient sentences that state the core function and key use cases without extra verbiage.

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 tool's simplicity and the presence of an output schema (presumably documenting return values), the description is moderately complete. It covers the purpose and use cases but misses parameter explanations and behavioral details like pagination or result limits.

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?

With 0% schema description coverage, the description does not explain the two parameters (limit and search). It mentions 'submission_id' but does not clarify that search filters by it or other metadata. A brief mention of how these parameters affect results is needed.

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 clearly states the tool lists models in the account, newest first, and gives specific use cases like finding an existing asset or recovering a submission_id, distinguishing it from sibling tools like thrixel_create_model or thrixel_job_status.

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 explains when to use the tool: to find and reuse an existing asset or recover a submission_id, providing clear context. However, it does not explicitly state when not to use it or mention alternatives beyond avoiding duplicates.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.