Analyze Amazon.in order trends

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

With no annotations, the description carries the full burden. It discloses that the tool computes spend trends and lists output metrics, but does not specify whether the operation is read-only, requires authentication, or has any side effects. No rate limits or data freshness info.

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, efficient sentence that front-loads the purpose and lists computed outputs. No wasted words.

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 no output schema and no annotations, the description covers what it returns and how to scope orders, but lacks information on prerequisites (e.g., login requirement), error scenarios, or how to interpret the results. Adequate but incomplete.

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%, and the description adds minimal value: it restates the defaults already in the schema. The description does not elaborate on parameter interactions or format requirements beyond what the schema provides.

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 uses a specific verb ('Pull... and compute') and resource ('orders'), and lists distinct outputs (total spend, avg order value, etc.). It clearly distinguishes from sibling tools like 'list_orders' or 'get_order' by focusing on trend analysis, not just retrieval.

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 implies usage for analyzing trends over a window of orders, but does not explicitly state when to use this tool over alternatives like 'list_orders' or 'get_order'. No when-not or prerequisite information is provided.

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