list_lingbot_models

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

No annotations are provided, so the description carries the full behavioral burden. It implies a safe, non-mutating read and hints that 'planned' models are included, but says nothing about pagination, ordering, or what a returned model record contains.

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?

A single tight sentence with no filler, and the scope qualifier ('current or planned') is front-loaded. It is efficient, though almost to the point of under-specification.

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 simple one-parameter read tool with no output schema, the description is minimal but workable. It does not describe the shape of returned model entries, which is the main gap given there is no output schema to fall back on.

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?

Schema coverage is 100% with a documented enum parameter, so the baseline is 3. The phrase 'current or planned' loosely maps to the available/coming_soon values and adds slight interpretive value, but no format or defaulting detail beyond the schema.

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 specific verb and resource ('List ... models') and scopes the result to 'current or planned' items. It is clearly distinguishable from the siblings get_lingbot_info and get_lingbot_creation_link, though it does not explicitly name them.

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?

Usage is only implied: an agent can infer it should call this to enumerate Lingbot models, but there is no explicit when-to-use, when-not-to-use, or routing to the sibling tools. With three siblings in the family, that omission matters.

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