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

Annotations already cover the safety profile (readOnlyHint true, destructiveHint false, openWorldHint true), so the bar is lower. The description still adds valuable non-annotation behavior: the response is a single page and paging is keyset-based, with next_cursor passed as start_cursor on the next call.

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 tightly packed sentences front-load purpose, then filters, then endpoint and paging. Every clause carries information and nothing is padded.

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?

With 7 optional parameters, no output schema, and simple paging, the description supplies what an agent needs: what is returned, the endpoint, and exactly how to page. Output field detail is unnecessary without a return schema.

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 already documents every parameter, including the status enum values the description repeats. The description adds only filter intent (what can be filtered) but no syntax or format detail beyond the schema, matching the baseline 3.

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 and resource ('List preventive-maintenance service reminders') plus what it returns (next-due dates, meter values). This cleanly separates it from sibling list tools such as fleetio_list_service_tasks and fleetio_list_service_entries, which cover different resources.

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 states the applicable filters (status, vehicle, service task) and the GET endpoint, which implies when it is useful, but it never names or excludes alternatives such as fleetio_list_vehicle_renewal_reminders or fleetio_list_service_tasks. Usage context is implied rather than routed.

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