calculate_token_amount_from_dollars

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

No annotations are provided, so the description carries the full burden of disclosure. It explicitly describes the calculation and return format (dictionary with token amount, current price, and dollar amount). This is sufficient for a non-destructive calculation tool. It does not mention error cases or data source, but the behavior is straightforward.

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 concise and well-structured: a one-sentence purpose, labeled args, returns, and a worked example. Every line adds value, and the example is provided without redundancy. No filler or fluff is present.

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?

For a simple calculation tool, the description is complete. It covers inputs, output structure, and a full example. Even though an output schema is claimed, the description already documents the return format. All necessary information for correct invocation is present, making the tool self-contained.

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 0%, so the description must compensate, and it does exceptionally well. It explains both parameters ('coin' and 'dollar_amount') with examples ('BTC', 'ETH', 'SOL' and '20.0 for $20'), and the example output clarifies the meaning of each field. The schema provides only types, so the description is the sole source of semantic meaning.

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 starts with a clear verb and resource: 'Calculate how many tokens can be bought with a given dollar amount.' This unambiguously distinguishes it from all sibling tools, which are order management and market data operations. The example call further reinforces the specific behavior.

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 clearly implies when to use this tool: whenever a user wants to convert a dollar amount into a token quantity. It does not explicitly exclude alternatives, but no sibling serves the same purpose, so the context is sufficient. The example call provides practical guidance on invocation.

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