get_all_drug_info

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

With no annotations, the description carries the full burden. It uses read-oriented verbs ('Get', 'Fetches') and lists the exact scope of data returned, which is helpful transparency. However, it omits any mention of side effects, authentication requirements, performance considerations, or behavior under error conditions, which would be valuable for a read operation.

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 consists of two tight sentences: the first gives the primary purpose, the second lists the data categories. It is front-loaded, free of redundancy, and every word contributes to understanding the tool's scope.

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?

Given that an output schema exists (so return formats are externally defined) and the input schema is fully documented, the description is sufficiently complete. It clearly defines the tool's aggregate nature and enumerates all data sections the agent can expect, leaving no ambiguity about its scope.

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 input schema already provides complete descriptions for both parameters (drug_code required integer, lang with enum and default). The tool description adds no additional parameter-level detail, so the value is neutral and matches the baseline for high schema coverage.

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 clearly states the tool's function: 'Get comprehensive information about a drug product in a single call' and enumerates all included data categories (basic info, active ingredients, company, etc.). This not only specifies the verb and resource but also distinctly separates it from sibling tools that fetch individual components.

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 phrase 'in a single call' implicitly signals this tool is the aggregate alternative to making multiple calls to the listed sibling getters. However, it does not explicitly state 'use this when you need all data' or name alternatives for partial lookups, leaving some room for interpretation.

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