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

With no annotations, the description carries the transparency burden. It discloses the scope and exclusions ('Intune' separate, license prices never included) and details the two implementations, including pricing models. It could say more about return shape or side effects, but for a read-style getter it is mostly transparent.

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?

Four compact sentences with useful specifics and a direct use-case sentence at the end. All information is relevant, though the two parenthetical phrases make the first sentence slightly dense.

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 low-complexity tool with two enum parameters and complete schema coverage, the description covers what is returned, the service distinctions, exclusions, and intended use cases. It is not fully complete on output format, but it provides enough context for correct invocation.

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 100% with enum descriptions for section and service, so the baseline is 3. The description adds business context (fixed-price tiers vs custom quote) that helps choose windows_365 vs azure_virtual_desktop, but it does not elaborate on section semantics beyond the schema.

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: 'Returns the Cloud PC service line' and immediately differentiates it from Intune, and enumerates Windows 365 vs Azure Virtual Desktop. It is easy to distinguish from generic siblings like get_offering and get_facts.

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?

Explicit use guidance is given: 'Use this for questions about Cloud PCs, Windows 365, Azure Virtual Desktop, or replacing physical PCs.' It also states exclusions: separate from Intune and 'Microsoft license prices are never included,' so an agent knows when not to expect licensing info.

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