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

No annotations are provided, so the description alone must carry behavioral context. It states the metric types and the default timeframe, which gives some practical behavior, but it does not disclose output shape, units, or confirm this is a read-only operation.

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 one tight sentence with the core behavior front-loaded, followed by a compact parameter constraint. Every part contributes information, and there is no redundant or promotional language.

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 should provide more context about the returned time-series data and how service_id is used, especially since it is marked as optional. The metric categories and timeframe are clear, but an agent could still be uncertain about the response format and the meaning of an omitted service_id.

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?

The description adds value for the timeframe parameter by enumerating allowed values and noting the default of 'hour', which goes beyond the schema's bare enum. The service_id parameter is left to the schema, which already provides a useful description with an example, so the split is adequate but not comprehensive.

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 description clearly identifies the tool as returning time-series resource metrics (CPU %, memory, network, disk) for a VPS, which is a specific resource and data type. It is distinct enough from siblings like get_vps_status by naming concrete metric categories, though it does not explicitly call out that distinction.

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 guidance on when to use this tool versus alternatives such as get_vps_status, and no exclusions or prerequisites are mentioned. The description implies its use for metric retrieval but does not help an agent choose between related VPS tools.

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