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

Annotations already declare read-only, idempotent, non-destructive behavior, so the description is not burdened with safety disclosure. It adds useful behavioral context by specifying the underlying data source (NPPA filings), the inclusion of price-control ceilings, and the automatic return of cheaper equivalent brands. It does not cover error handling or pagination, but the core data behavior is well disclosed.

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 a single, front-loaded sentence that immediately establishes scope ('One Indian medicine brand') and then lists the returned data in a compact sequence. Every clause maps to a distinct output field or behavior, with no filler.

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 one parameter, no output schema, and rich annotations, the description carries the right load: it thoroughly enumerates what the tool returns, including the less obvious cheaper-equivalent lookup and NPPA price-control details. An agent has enough information to know what calling it will produce.

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?

There is a single required 'brand' parameter, and schema coverage is 100%—the schema itself explains that a brand name or a counterfoil.in URL is accepted. The description does not add parameter-level meaning beyond this, so the baseline 3 is appropriate.

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 the specific resource ('One Indian medicine brand') and enumerates exactly what is returned: packs, MRP, price per unit, NPPA filing, composition, price-control status, ceiling, and cheaper equivalents. It implicitly contrasts with 'search_medicines' through the singular 'One' brand scope, but does not explicitly name or differentiate from any sibling tool.

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: an agent can infer this is for looking up a single known brand. There is no explicit 'use this when...' guidance, no exclusions, and no mention of when to prefer 'search_medicines' or 'compare_prices' instead.

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