list_node_pools

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

Annotations are absent, so the description carries full responsibility for behavioral disclosure. It states the return value ('Returns: List of node pools in the specified GKE cluster') but does not explicitly declare the operation as read-only, mention permission requirements, or describe error behavior. This is adequate but leaves gaps.

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 front-loaded, starting with a clear one-line purpose, followed by structured Args and Returns sections. There is no redundancy or filler, and every sentence adds value.

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 tool is simple with three parameters and no output schema, and the description documents all parameters and the return type. However, it lacks behavioral context such as authentication requirements or error handling, which would make it fully complete.

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 input schema provides only generic titles (Project Id, Cluster Name, Location), while the description explains each parameter with meaningful details, such as 'location (region or zone)'. Since schema coverage is 0%, this compensation is valuable, though the explanations are not exhaustive (e.g., no format or allowed values).

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 ('List'), the resource ('node pools'), and the context ('in a GKE cluster'), which distinguishes it from sibling tools like list_compute_instances and list_gke_clusters. It is specific and unambiguous.

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 usage is implied by the tool name and description, but there is no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description does not name sibling tools or conditions for use, so it falls at the 'implied usage' level.

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