model_clone

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 discloses the core cloning action and the set_current parameter effect, but lacks details on side effects (e.g., impact on original model, permissions, disk usage) and return value specifics beyond 'Info about the cloned model'.

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 and well-structured, with a brief purpose statement followed by organized parameter and return documentation. Every sentence serves a purpose with no redundancy.

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?

The description covers parameter semantics and return type, but lacks details on the cloning process (e.g., whether it's a deep copy, what data is preserved) and prerequisites. Given no output schema and the tool's complexity, more context would improve completeness.

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 includes a detailed Args section explaining each parameter's meaning and default behavior, adding significant value beyond the input schema which has 0% description coverage. For example, it clarifies that model_name defaults to the current model and new_name is auto-generated if not 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 ('clone') and the resource ('model'), with a specific purpose ('create a copy for comparison or modification'). It distinguishes from siblings like model_create by indicating duplication rather than creation from scratch.

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 implies when to use the tool ('to create a copy for comparison or modification'), but does not explicitly state when not to use it or mention alternatives. It provides clear context without exclusions.

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