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

The annotations already establish read-only, idempotent, non-destructive behavior, and the description adds important operational context beyond them: the period logic, row cap of 200, comparison behavior, pharmacy-only pricing scope, and the limitation that it does not advise on proposed prices.

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 front-loaded with the core scope and output metrics, and its length is justified by the tool's complexity. It loses a little sharpness from the redundant final English sentence and the somewhat verbose pricing caveat, but the structure remains usable.

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 eight parameters, the description still explains the returned metrics, period scope, comparison behavior, row limit, and usage boundaries well enough for an agent to select and invoke it correctly.

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 high at 88%, so the schema already documents most parameters. The description still adds useful meaning about how period selection and comparison work together, especially that comparer adds compared-period values and evolution of sales and purchase price per product and for the whole range.

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 and resource: returning a laboratory's full product range in the pharmacy over a period, product by product, including references with no sales and aggregate totals. It names the exact metrics returned and distinguishes this from adjacent tools by emphasizing laboratory-level range analysis rather than generic product listing or medical questions.

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?

It gives explicit when-to-use guidance: preparing a laboratory meeting or reviewing its range. It also gives explicit exclusions: not for medical questions, dosage, patient files, or market pricing, and notes that comparing two laboratories requires two calls.

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