Get Indian Users

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

With no annotations provided, the description carries full burden. It only says 'Fetch' but does not disclose any behavioral aspects like authentication needs, rate limits, or whether it returns a complete list or paginated results. For a simple read-only tool, this is minimally adequate but lacks depth.

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 one sentence, front-loading the core action and resource, then adding use-case examples. Every word is meaningful with no redundancy.

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 the tool has no parameters and no output schema, the description sufficiently covers its purpose and usage context. It could be improved by noting the output format or any limitations, but it is complete enough for a simple list-fetch operation.

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 has zero parameters, so the baseline is 4. The description adds value by specifying 'all Indian test users', confirming the lack of filtering. This aligns with the empty schema and provides clarity beyond the raw schema.

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 action ('Fetch') and the specific resource ('all Indian test users'), which immediately distinguishes it from sibling tools like get_orders (orders) or get_user_business_profile (single user profile).

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 lists use cases (customer segmentation, location analysis, plan analysis, profile lookup), providing clear context for when to use this tool. However, it does not explicitly state when not to use it or contrast with alternatives like get_user_orders.

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