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

Annotations already declare the safety profile: read-only, idempotent, non-destructive and closed-world. The description adds useful behavioral context by naming the response contents, which matters because there is no output schema.

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 a single compact sentence with no wasted words. It is front-loaded with the server scope and then lists the returned data, though the fragment style is slightly less immediately scannable than a full sentence.

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?

For a simple one-parameter read tool with strong annotations and no output schema, the description conveys enough about what data comes back to call and interpret it correctly. It does not explain every returned field such as 'rank parts', but the overall shape is adequately covered.

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?

There is only one parameter and schema description coverage is 100%; the schema already documents 'name' with an example. The description adds no additional parameter semantics beyond what the schema provides, so the baseline of 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?

The description clearly scopes the tool to 'one server' and enumerates the kinds of data returned: registry data, measurements, risk, rank parts, URLs and tools. It does not explicitly differentiate itself from siblings such as search_servers, but the singular-server scope is evident.

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 guidance on when to use this tool versus list/search/history alternatives. An agent can infer it is for retrieving a single known server, but no alternatives or exclusion conditions are stated.

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