create-registered-model

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

The description indicates mutation (consistent with readOnlyHint=false) but provides no additional behavioral details. It does not disclose authentication needs, idempotency, or what happens if the name already exists. Annotations provide minimal context.

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, focused sentence. It is not verbose, but it is also lacking in additional context that could be provided without sacrificing conciseness.

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 tool has three parameters, low schema coverage, and no output schema, the description is insufficient. It does not explain return values, error behavior, or constraints, leaving the agent underinformed.

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 only 33% (only 'name' has a description). The tool description adds no parameter-level explanations. For low-coverage parameters like 'description' and 'tags', the agent must infer meaning without help.

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 ('Create'), the resource ('registered model'), and the location ('in the model registry'). This distinguishes it from sibling tools like update-registered-model or delete-registered-model.

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 such as create-experiment or create-logged-model. There is no mention of prerequisites, such as needing an existing experiment or whether the name must be globally unique.

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