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

The annotations only say destructiveHint=true, but the description goes further by explaining that deleting a bucket does not delete mentions, mentions become uncategorised, and the count appears as unclassified. It also discloses the free nature and the separation of sorting charges, adding meaningful behavioral context beyond the structured 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 compact and front-loaded with the primary purpose. Each sentence adds useful information: the operation, the deletion side effects, the ask-before-deleting policy, and the cost behavior. There is no redundant or filler content.

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 dual-action tool with no output schema, the description covers the important behavioral and cost context well. It still relies on the schema for parameter specifics like bucketId, and does not describe the response shape, but the combination of schema and description is sufficient for correct invocation.

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 67%, and the description does not significantly add parameter meaning beyond what the schema already provides. The parenthetical about a name and one sentence maps to label and rule, but those are already described in the schema. The color, action, id, and bucketId parameters still rely on the schema or enum values.

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 specific operation: create or delete a bucket on a listening keyword, and defines what a bucket is. This distinguishes it from sibling tools like keyword_create or keyword_manage, which operate on keywords rather than buckets.

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?

It gives clear context for when to use the tool: create or delete a bucket on a listening keyword. It also provides explicit guidance to ask before deleting and clarifies that sorting is charged separately, which helps choose this tool over paid alternatives, though it does not name specific sibling tools.

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