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

No annotations are provided, so the description carries the full behavioral burden. It discloses one useful trait — 'Requires: token' — but says nothing about rate limits, retention windows, whether the call is read-only, or how much data is returned. For an un-annotated read tool this is thin.

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?

Two tight sentences, front-loaded with the resource and return categories, followed by the one constraint the schema doesn't carry. No filler and nothing that restates the name or title.

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 and no annotations, the description is the only source for return shape and constraints. It names the metric families and the token requirement, which is helpful, but does not indicate whether `service_id` is effectively required despite the schema marking nothing required, nor what the response objects look like.

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 50%: `service_id` is documented in the schema but `timeframe` only has an enum with no description. The description compensates by restating the enum values and, more importantly, supplying the default (hour), which the schema omits. That is real added value, so it holds at the baseline.

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+resource and enumerates exactly what it returns: time-series resource metrics (CPU %, memory, network, disk) for a VPS. This is clearly distinguished from the sibling get_vps_status, which reports state rather than time-series metrics, so an agent can tell them apart without opening a schema.

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?

No when-to-use guidance, no alternatives, no exclusions. It mentions the default for `timeframe` (hour), but that is parameter semantics, not usage direction. An agent is left to infer that this is the tool for historic resource sampling versus get_vps_status for current state.

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