gcloud_storage_buckets_list

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'List Cloud Storage buckets' and adds nothing about authentication requirements, pagination, rate limits, or what the output contains. This is critically insufficient for an agent to reason about the tool's behavior.

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 concise sentence with no redundancy. Every word earns its place. However, it is so short that it misses crucial details; conciseness should not come at the cost of completeness. Still, it is well-structured for its length.

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's simplicity (one optional parameter, no output schema, no annotations), the description is incomplete. It does not hint at the return format (e.g., list of bucket names or full metadata), whether pagination is involved, or if the output is sorted. The agent lacks essential context to effectively use the tool.

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% (the single 'project' parameter is documented in the schema). The description does not add any extra meaning beyond what the schema already provides. Per the rubric, baseline 3 is appropriate when schema covers parameters well.

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 verb 'List' and resource 'Cloud Storage buckets', making the basic purpose understandable. However, it does not explicitly specify the scope (e.g., all buckets in a project or globally), which could lead to ambiguity. The sibling tool gcloud_storage_ls lists objects, so the distinction is implicit but not stated.

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. For example, the description does not mention that gcloud_storage_ls is for listing objects within a bucket, or that gcloud_projects_list might be relevant for identifying projects. The agent is left to infer usage context from the name alone.

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