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

With no annotations, the description carries the full burden. It discloses that figures are 'indicative ranges published on the site, not a quote,' which is a behavioral caveat about data reliability. It also implicitly indicates a read operation. This goes beyond a bare action statement and adds useful context.

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 concise (three sentences) and front-loaded with the core purpose. Every sentence earns its place: the first explains what is returned, the second clarifies the indicative nature, and the third gives usage direction. No redundancy.

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?

The tool has a single optional parameter and no output schema, but the description covers the main content areas and usage context. It does not describe the response format, but for a simple informational tool this is not critical. The description is sufficient for an agent to know when and how to call it.

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%, so the baseline is 3. The description adds value by mapping the enum values to concrete content (tiers, billing, scope, service_area) and explaining that the tool returns details for each section. This enriches the parameter's meaning beyond the schema's simple 'Which part of the offering to return.'

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 states a specific verb ('Returns') and resource ('Intune Ready offers') with explicit content: three fixed-price tiers, billing model, deployment scope, and service area. This is highly specific and clearly differentiates from sibling tools like get_cloud_pc_offering or get_contact, which target different topics.

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?

The description gives explicit usage guidance: 'Use this for questions about price, scope, tiers, or what is included.' This clearly tells the agent when to invoke this tool, though it does not explicitly mention when not to use it or name alternative tools. However, the guidance is sufficient for typical use.

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