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

Annotations already establish readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds the valuable context that results are limited to inboxes accessible to the token, but it does not disclose pagination behavior or response structure beyond field names. No contradiction with 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 short and front-loaded with the core purpose. The second sentence about queues/filtering/reporting is somewhat awkward and vaguely worded, but it does not add significant bloat.

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?

The description covers return fields and token scoping, which is useful given there is no output schema. However, it omits any explanation of the page parameter and does not describe the response format or any defaults, leaving minor gaps for an agent invoking the tool.

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?

With only 50% schema description coverage, the description needed to compensate for the undocumented 'page' parameter, but it does not mention pagination at all. The _apiKey parameter is already documented in the schema, so the description adds no new parameter meaning.

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 first sentence clearly states the action ('Return') and the resource ('Help Scout inboxes accessible to the token'), and it lists the key output fields (IDs, names, email addresses, timestamps). This makes the tool's purpose distinct from sibling Helpscout tools like list_conversations or get_conversation.

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 a use case: inboxes can be used for filtering and reporting. However, it does not explicitly say when to use this tool versus alternatives, nor does it name any sibling tools or provide exclusion guidance.

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