bevigil_get_s3_buckets

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety profile is covered. The description adds that finding a bucket name does NOT confirm vulnerability, which is critical context for interpreting results. This goes beyond annotations.

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 with three sentences: purpose, value, and caveat. It is front-loaded with the primary action and resource, and every sentence earns its place.

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 no output schema, the description explains the tool's purpose and adds a security caveat. It does not describe return format or pagination behavior, but the schema covers parameters and annotations cover safety. For a read-only search tool, this is adequate but could mention 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 100%, so the schema fully documents all three parameters. The description does not add any parameter-specific meaning beyond what the schema provides, such as package_id semantics or pagination details. Baseline 3 is appropriate.

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 tool finds Amazon S3 bucket names referenced in an Android application's code, and differentiates from siblings by focusing on S3 buckets specifically. It also notes the useful security context of discovering cloud storage assets.

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 usage for discovering cloud storage assets and includes a caution about not confirming vulnerability, which guides interpretation. However, it does not explicitly state when to use this over siblings, though the purpose is clear enough given the sibling tool names.

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