get_model

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

With no annotations, description carries full burden. It details what the output contains (params, vram, etc.), implying read-only behavior. However, it lacks explicit disclosure of any constraints (e.g., API limits, authentication) though minimal given simplicity.

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?

Concise, well-structured with Args and Returns sections. Every sentence adds value; no redundancy. Front-loaded with main action.

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 1-param tool with no output schema or annotations, description covers purpose, parameter, and output fields. Lacks edge cases (e.g., model not found) but sufficient for typical use.

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?

Single parameter model_id has 0% schema coverage, but description provides concrete examples ('mistral-7b-instruct', 'qwen3-8b') adding value. Could hint at expected naming convention, but adequate.

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?

Clearly states 'Get full details for a single model' with specific verb and resource, and distinguishes from siblings like list_models and search_models. Example model IDs reinforce purpose.

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?

Implicitly clear when to use (for a known model ID), but no explicit alternatives or when-not-to-use guidance. With sibling tools like list_models and search_models, additional clarification would help but is not critical.

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