list_storage_buckets

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

No annotations are provided, so the description carries the full burden. The word 'List' implies a read-only operation and the return of a list of buckets. However, it does not disclose permissions, pagination, or error behavior. For a simple list operation, this is adequate but not rich.

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 well-structured: a clear operation sentence, followed by an Args section and a Returns section. There is no redundant text, making it easy to parse quickly.

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 (one parameter, no output schema), and the description covers the purpose, the parameter, and the return type. It is complete enough for an agent to invoke correctly, though it omits details about permissions or edge cases that could be important in some contexts.

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 schema has 0% description coverage for project_id, but the description's Args section explicitly defines it: 'The ID of the GCP project to list buckets for'. This fully compensates for the schema's lack, giving clear semantic meaning to the only parameter.

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 'List Cloud Storage buckets in a GCP project', using a specific verb and resource with a defined scope. This distinguishes it from sibling tools like get_bucket_details, which targets a single bucket. The Args and Returns sections further clarify the operation.

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 gives no explicit guidance on when to use this tool versus alternatives, nor does it mention exclusions. Usage is implied by the purpose and the required project_id, but there is no reference to sibling tools like get_bucket_details for single-bucket lookups.

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