post-models-copy-by-model-id

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

No annotations are provided, so the description carries full burden. It mentions copying training data if present, which adds some behavioral context, but fails to disclose critical traits: whether this is a read-only or mutating operation (implied mutation from 'copy'), authentication requirements, rate limits, or what the output looks like (no output schema). For a tool with potential side effects, this is a significant gap.

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, efficient sentence that front-loads the core action. It avoids redundancy but could be slightly more structured (e.g., clarifying parameter dependencies). Every word earns its place, making it appropriately concise.

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 the complexity (copying a model with training data), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral risks (e.g., whether copying affects the original), response format, or error conditions. For a tool with multiple parameters and potential side effects, this leaves significant gaps for an AI agent.

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 description coverage is 100%, so the schema fully documents all four parameters. The description adds minimal value beyond the schema—it implies copying of training images and pairs relates to 'copyExamples' and 'copyAsTrained', but doesn't explain parameter interactions or defaults. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Copy') and the resource ('modelId'), specifying what gets copied (thumbnail, presets, training images and pairs). It distinguishes from sibling tools like 'post-models-transfer-by-model-id' by focusing on duplication rather than transfer. However, it doesn't explicitly differentiate from 'copy-asset-by-asset-id' in terms of scope (model vs. asset).

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 like 'post-models-transfer-by-model-id' or 'copy-asset-by-asset-id'. It lacks context about prerequisites (e.g., needing an existing modelId) or typical use cases (e.g., creating a backup or variant).

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