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

Annotations already declare non-destructive, idempotent, non-read-only behavior. The description adds real value beyond them: the 50-item cap, atomic all-or-nothing semantics, and the guarantee that no other fields are modified. It omits permission/auth requirements, which keeps it from a 5.

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?

Three short sentences, front-loaded with the primary action, then the removal case, then the atomicity/limit guarantee. No filler or redundancy.

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?

No output schema exists, but the description discloses the two behaviorally important outcomes an agent needs: atomic success/failure and that no other bubble attributes change. A brief note on return/error shape would close the remaining gap.

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 coverage is 100%, and both parameters are fully documented in the schema, including the "none" sentinel and the ID pattern. The description's mention of "none" and the 50 limit restates schema constraints rather than adding new meaning, so baseline 3 applies.

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?

States a specific verb ('File ... in one of the user's buckets') and the inverse operation ('take them out with bucket "none"') on a named resource. This clearly separates it from sibling mutations like delete_bubble, update_bubble, and update_bucket.

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?

Gives concrete usage context: assigning vs. clearing membership via the literal "none" value, which is the key decision point for this tool. It stops short of explicitly naming sibling alternatives (e.g., whether update_bubble could also change bucket), so it is clear but not fully routing.

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