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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds real context beyond that: the returned attributes (online status, last seen, OS, hardware, logged-in user) and the underlying GET endpoints, confirming it is a non-mutating read. It stops short of describing pagination behavior or result volume.

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 compact sentences, front-loaded with the verb, resource, and returned fields before the filter hint. The trailing endpoint citation is mildly redundant but cheap and confirms the read-only GET semantics.

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?

There is no output schema, so the description correctly compensates by enumerating the returned fields. Pagination controls exist in the schema and are documented there, so the omission is minor; nothing critical for a correct call is missing.

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 all three parameters (page, customer_id, items_in_page) are already documented in the schema. The description only restates customer_id's filtering meaning and says nothing about page/items_in_page, so it adds little beyond structured data. 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 and resource ('List Atera agents — the managed machines') and enumerates the returned fields, so an agent knows exactly what this returns. It does not explicitly contrast itself with siblings like atera_get_agent or atera_find_agents_by_machine, though the list/get distinction is inferable.

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 one concrete usage cue ('Pass customer_id to list only one customer's devices'), which tells the agent when to use the filter variant. However it names no alternatives and gives no when-not guidance, so the agent must infer the boundary against atera_get_agent and atera_find_agents_by_machine.

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