get_model

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'Get detailed info' without explaining what happens if the model is not found, whether it requires authentication, or if it has rate limits. As a read-like operation, it doesn't mention side effects (likely none), but the lack of explicit safety or behavior info reduces clarity.

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 extremely concise: one sentence stating purpose followed by two examples. Every part adds value without unnecessary length. The front-loaded purpose makes 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?

For a simple tool with one parameter and an output schema (promise of return info), the description is minimal but barely adequate. It covers the basic purpose but lacks usage guidelines, parameter explanation, and behavioral context. With no annotations, more detail would improve completeness, but given the tool's simplicity, it's not severely deficient.

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 input schema has one required parameter model_key with 0% description coverage. The description provides examples showing model_key='qwen/qwen3-4b-2507' but does not explain the format, allowed values, or what constitutes a valid key. This leaves the agent to infer from examples, which is insufficient for correct invocation.

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's purpose: 'Get detailed info about a single model.' This is specific with a verb and resource, and examples reinforce usage. It distinguishes itself from sibling tools like list_models and get_loaded_models by focusing on a single model with detailed info.

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 provides no guidance on when to use this tool versus alternatives. It does not mention when to prefer this over list_models or get_loaded_models, nor any conditions or prerequisites. The only usage information comes from examples, which show syntax but no context.

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