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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuine value beyond that: metrics come back null while the server is not ready or metrics are still collecting, plus a servers:read permission requirement and an account/MCP-key prerequisite.

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?

Front-loads the resource ('CPU, RAM and network usage series') and appends the availability caveat and permission tags compactly. No filler, though the bracketed account requirement is somewhat boilerplate.

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 no output schema, the description usefully characterizes the return as a usage series and explains the null state, and it discloses the permission scope and prerequisite. Only return formatting/window details are absent, which is a minor gap for a read-only metrics 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?

Schema coverage is 100% with a single serverId parameter that already documents its origin (from gpucloud_list_servers). The description adds no parameter syntax or format detail, so this is the baseline 3 where the schema carries the load.

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 resource and read action: 'CPU, RAM and network usage series of a server'. An agent can tell it retrieves a time series rather than a snapshot, but it does not distinguish itself from the similarly-named sibling gpucloud_get_server_usage.

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?

There is no explicit when-to-use guidance and no routing to alternatives such as gpucloud_get_server_usage or gpucloud_get_server. The only contextual pointer is the schema reference to gpucloud_list_servers as the id source.

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