recommend_server

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only says a recommendation will be made; it does not state whether the operation is read-only, what the recommendation format is, whether the input is sent to a third-party model, or any latency/limit concerns. This is a significant gap for an AI-driven tool.

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?

One short, front-loaded sentence with no filler. Every word contributes: the action, the resource, and the input basis are all present.

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 or annotations, the description should clarify what the agent receives after calling the tool. It does not mention the response type, structure, or any constraints on the recommendation. For a tool that is essentially a black-box AI recommendation, the description is under-specified.

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 0%, but the description effectively clarifies that the single 'prompt' parameter is the workload description. This gives the otherwise bare string parameter a clear meaning. It lacks format or examples, but for a single one-parameter tool, this is adequate compensation.

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 ('recommend'), a clear resource ('VPS/cloud plan'), and the input basis ('workload description'). This distinguishes it sharply from sibling tools, which all concern domain lookup or checkout operations, so an agent can tell its purpose immediately.

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 guidance on when to invoke this tool versus any alternative, nor any mention of prerequisites or context. While no sibling overlaps directly, the description gives no situational cues, leaving the agent to infer usage entirely from the tool's name.

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