get_exchange_rate

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

No annotations are present, and the description does not disclose any behavioral traits like rate limits, authentication needs, or side effects. It does mention that omitting date returns today's price, but otherwise lacks transparency.

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 uses a clear docstring format with Args and Returns. It front-loads the main purpose. Minor improvement could be to avoid the Python docstring style for AI consumption.

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?

The description mentions the return type (pd.DataFrame) but does not specify its structure (columns, meaning of rows). For a tool returning multiple exchange rates, knowing the output shape is important. No output schema exists to supplement.

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?

With 0% schema description coverage, the description fully explains both parameters: date format and default behavior, and output_format options with special meaning for 'toon'. This adds significant value beyond the 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 it retrieves exchange rates for currency pairs from the stock market, but it is ambiguous whether 'all currency pairs' is realistic or includes all possible pairs. It distinguishes from sibling tools which focus on equities and funds, so purpose is mostly clear.

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?

No guidance is provided on when to use this tool versus alternatives, such as get_gold_price or other data queries. There is no discussion of prerequisites or context for usage.

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