model_download

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

The description lacks detail on side effects, authentication requirements, or behavior during overwrites. Additionally, there is a contradiction: the description describes a read-like operation ('download'), but annotations set readOnlyHint=false, implying possible server-side modifications. The description does not clarify this inconsistency.

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 a single concise sentence with no redundancy. It could benefit from slightly more detail without becoming wordy, but it is well-structured for its length.

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 5 parameters (2 required) and no output schema, the description omits crucial details such as return value (file path, success status), blocking vs async behavior, and error handling. This leaves the agent underinformed for effective 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?

The description adds context to 'model' (id or slug) and 'output_path' (local destination). However, with schema coverage at 40%, it fails to explain 'project', 'filename', or 'overwrite' behavior. Baseline 3 is appropriate as partial compensation is provided.

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 action ('download'), the resource ('trained model weight file'), and the target destination ('explicit local path'), effectively distinguishing it from sibling tools like dataset_upload_file or model_predict.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., model_predict for inference, or other download methods). There is no mention of prerequisites or scenarios where it should not be used.

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