get_amazon_gift_card_transactions

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it returns detailed transaction data (listing specific fields like date, amount, order ID), supports pagination, and implies it fetches historical data. However, it lacks information on authentication requirements, rate limits, error handling, or whether it's a read-only operation, which are important for a tool accessing sensitive transaction data.

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 front-loaded with the core purpose in the first sentence, followed by specific return details and pagination support. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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 complexity of a transaction history tool with no annotations and no output schema, the description does well by specifying return values (balance, count, detailed fields) and pagination behavior. However, it lacks details on authentication, error cases, or data freshness, which are important for completeness in this context.

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 description coverage is 100%, with both parameters ('region' and 'max_pages') well-documented in the schema (including enum values and default). The description adds no additional parameter semantics beyond what the schema provides, such as explaining region implications or pagination details. Baseline 3 is appropriate since the schema handles the heavy lifting.

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 specific action ('Get Amazon gift card transaction history with full details') and resource ('Amazon gift card'), distinguishing it from siblings like 'get_amazon_gift_card_balance' (which only retrieves balance) and 'export_amazon_transactions_csv' (which exports to CSV). It explicitly mentions the scope ('full details' and 'complete history'), making the purpose unambiguous.

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 provides clear context by specifying it retrieves 'transaction history with full details' and 'supports pagination for complete history,' which helps differentiate it from tools like 'get_amazon_gift_card_balance' (balance-only) or export tools. However, it does not explicitly state when not to use this tool or name specific alternatives, such as for summary vs. detailed data.

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