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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds the returned field set and decodes the 'kind' values ('standard' vs 'browser'), which is useful domain context beyond the annotations, but says nothing about ordering, pagination, or what an empty result means.

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 sentences, front-loaded with the core action and field list, with the glossary sentence appended where it is needed. No filler, though the kind sentence is slightly terse in phrasing.

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 an output schema present, the description needn't document return structure, and it still summarizes the fields. For a zero-param read tool with full annotations, it is essentially complete; only result-ordering details are absent, which is minor.

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 tool takes zero parameters, so per the baseline this is a 4. The kind explanation pertains to a returned value rather than an input parameter, so it neither helps nor hurts this dimension.

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 names a specific verb and resource and enumerates the fields returned (tier, kind, status, sharing, project count), which is more informative than the bare title. It doesn't explicitly contrast with get_server, but the list-vs-fetch distinction is implied clearly enough.

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?

Usage is only implied by the verb 'List'; there is no statement of when to call this versus get_server for a single server or list_projects. The kind glossary hints at interpreting results but offers no selection guidance.

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