CustomerFeedback_getBrowseNodeReturnTopics

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

No annotations are provided, so the description carries the behavioral disclosure burden. It reveals an important operational trait (runs in the Kuudo deployment, not the current environment) and implies a read-only retrieval action, but it does not mention authentication needs, rate limits, or output behavior beyond retrieving topics.

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 three short sentences with no filler. The environment caveat is useful, though leading with 'Catalog entry' adds little semantic value and the actual retrieval statement appears last; still, the overall length is appropriate.

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 zero-parameter retrieval tool this is mostly usable, but without an output schema or an explicit parameter note, the return shape and the browse-node binding are left to inference. It also does not address routing among the many similar CustomerFeedback sibling tools.

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 input schema has zero documented parameters and 100% schema description coverage, so the baseline is 4. The description adds semantic meaning around 'browse node' and 'return items,' though it does not clarify how the browse node is supplied given the empty schema.

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 core sentence 'Retrieve the topics that customers mention when they return items in a browse node' gives a specific verb, resource, and scope. The phrasing 'return items' clearly differentiates it from sibling review-topic/trend tools like CustomerFeedback_getBrowseNodeReviewTopics and CustomerFeedback_getBrowseNodeReturnTrends.

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 when to use the tool: when you need return topics for a browse node. It also provides an environment note, 'Runs in your Kuudo deployment, not here,' but it does not explicitly contrast this tool with similar CustomerFeedback siblings or state when not to use it.

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