bucket_exposure_audit

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

With readOnlyHint already declaring a safe read, the description adds meaningful behavioral detail: findings are ranked riskiest first and include cause plus action, and the scan covers multiple specific bucket exposure conditions. It does not discuss permissions, pagination, or performance limits, but it goes well beyond the annotation.

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 front-loaded with the purpose and scan scope, then gives a compact Args section. It is efficient, though the multi-line formatting and repeated default values add slight verbosity without harming comprehension.

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?

For a read-only audit tool with two optional parameters and no output schema, the description covers the scan scope, ranking behavior, and return shape at a summary level. It is complete enough to invoke correctly, with minor remaining gaps around exact output fields and pagination.

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 0%, so the description must carry parameter meaning. It documents both optional parameters: limit as maximum buckets to audit with default 100, and target as an optional MinIO target from config with default behavior when omitted.

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 states a specific audit action on buckets and enumerates exactly what is checked: anonymous/public policy statements, missing default encryption, versioning off, and no lifecycle. This gives an agent enough to distinguish it from siblings like bucket_info, lifecycle_gap_analysis, or diagnose_iam_exposure.

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 frames the tool as 'the fastest answer to "is anything in my object storage exposed?"', which clearly signals the intended use case. It does not explicitly exclude nearby siblings or name alternatives, but the context is strong enough for correct selection.

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