get_exchange_rate

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

With no annotations, the description carries the behavioral disclosure burden. It does state the core behavior: returning a current or date-specific exchange rate. But it does not mention the rate source, response format, error behavior for invalid currency codes or dates, or any rate-freshness limitations, which leaves meaningful uncertainty for a tool without annotations or an output schema.

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 concise, front-loaded sentence with no filler. It communicates the operation, the optional date behavior, and a concrete example efficiently, which is ideal for an AI agent scanning available tools.

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 tool is simple and the schema fully covers the three parameters, so the description does not need to repeat parameter details. However, with no output schema and no annotations, the description omits the shape of the returned rate, source/limitations, and how this differs from several closely related sibling tools, leaving moderate gaps for a completely self-contained definition.

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%, so the schema already documents from, to, and date. The description adds only the example pair and the notion of date-specific rates, which is helpful but does not materially exceed what the schema provides. Baseline 3 is appropriate.

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 verb ('returns'), the resource (exchange rate between two currencies), and the optional date dimension. The example 'USD → TRY' makes the input format intuitive. However, it does not explicitly distinguish itself from the sibling tools get_historical_rate or get_tcmb_rate, and the date option creates potential overlap with get_historical_rate.

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 current or date-specific exchange rate lookups, and the date parameter notes that omitting it yields the latest rate. However, it gives no explicit guidance about when to choose this tool over get_historical_rate, get_tcmb_rate, or convert_currency, and no exclusions or alternatives are mentioned.

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