inference_update_serverless_inference

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

No annotations are provided, so the description carries the behavioral disclosure burden. It states that the operation updates an existing subscription and returns updated subscription information, but it does not mention side effects, permissions, idempotency, or whether the label change is applied immediately or subject to validation.

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 compact, front-loaded with the action and resource, and organized with Args and Returns sections. Every sentence adds useful information, and there is no padding.

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 only two string parameters and the presence of an output schema, the description covers the key semantic points: which subscription to target, what to update, and what to expect in return. It is slightly light on broader usage context, but for this simple update tool it is largely sufficient with the existing schema.

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?

With 0% schema description coverage, this description compensates by explaining that subscription_id accepts either the subscription ID or current label, and that label is the new label. This adds meaning beyond the raw schema, though it could specify formats or constraints for either field.

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 (update), the resource (serverless inference subscription), and the scope (existing, not create/delete). This differentiates the tool from sibling tools like inference_create_serverless_inference and inference_delete_serverless_inference without needing to inspect schemas.

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: when an existing inference subscription needs a new label, and it clarifies that the subscription must already exist. However, it does not explicitly name alternative tools or state when not to use it, leaving the routing to be inferred rather than stated.

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