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

With no annotations provided, the description carries the burden of behavioral disclosure, and it does so well. It reveals the mandatory safety block, the evidence-tier convention, and the requirement to reproduce safety information. It could add explicit read-only confirmation or mention behavior for unknown herbs, but the disclosed traits are substantive and useful.

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 dense but every clause earns its place: purpose, traditional/modern separation, evidence tier, mandatory safety block, reproduction obligation, and accepted name forms. It is front-loaded with the core purpose and does not include filler or redundant schema repetition.

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 there is no output schema and no annotations, the description provides a remarkably complete picture. It explains the structure of the response, the evidence grading, the mandatory safety block, and the required downstream behavior. An agent has enough guidance to invoke the tool and use its output responsibly.

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% for the single 'herb' parameter, so the baseline is 3, but the description adds real value beyond the schema. It explains accepted name types (English, Sanskrit, Hindi, botanical) and gives concrete examples, making the parameter much easier to populate correctly.

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 opens with a specific verb and resource: 'Get a sourced monograph for an Ayurvedic herb.' It clearly distinguishes this tool from food/recipe/health-topic siblings by focusing on herb-specific monographs, and it clarifies the core behavior of keeping traditional use and modern research strictly separate.

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 clear context for when to use the tool: whenever a sourced Ayurvedic herb monograph is needed, with traditional and modern evidence separated. It does not explicitly name alternative tools or state when not to use it, but the unique purpose and accepted name types make the appropriate use case unambiguous.

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