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

No annotations are provided, so the description carries the burden, but this is a zero-parameter read tool with low behavioral risk. The description does add value by disclosing the currency (USD) and that each entry includes inclusion/exclusion details, though it says nothing about freshness, caching, or whether output is static.

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?

A single front-loaded sentence with no filler — every clause (categories, currency, scope of detail) carries information. It is dense but earns its length.

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 and no annotations, the description must cover the return shape, and it only gestures at it ('what each includes and excludes', 'in USD'). It is adequate for a simple static pricing lookup but leaves the actual result structure unspecified.

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 no parameters, so there is nothing for the description to clarify; the baseline for zero-param tools applies. The description correctly avoids inventing filter semantics that do not exist.

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 enumerates the concrete resource set — credits, monthly/annual subscriptions, Power BI licence packs, Practitioner Review — which tells an agent exactly what pricing data is returned and distinguishes it from siblings like list_products. It lacks an explicit verb, relying on the name 'get_pricing' to supply the action, but the resource scope is unambiguous.

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 statement of when to call this versus alternatives such as list_products, evaluate_fit, or create_checkout. The enumeration implies it is a reference lookup, but no condition, prerequisite, or exclusion is given.

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