bullion_melt

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

No annotations are provided, so the description carries the full behavioral burden. It does signal that this is a pure computation (inputs in, derived values out) with no implied side effects, which is the key behavioral fact. However, it does not disclose what happens if neither karat nor purity_pct is supplied, which wins when both are given, the default metal, or rounding/currency conventions for the returned values.

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?

A single well-formed sentence with the output list front-loaded and zero filler. Every clause contributes either an output or an input, and there is no redundant restatement of the tool name.

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?

With no output schema, annotations, or title, the description does well to enumerate the three returned quantities. But for a five-parameter calculator it omits the default metal, the karat/purity_pct resolution rule, and the fact that there is no fallback when both purity inputs are absent. An agent can call it, but not confidently predict behavior at the edges.

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 each parameter is already documented, making 3 the baseline. The description adds only that these inputs feed fine-content and melt-value computation, restating the field groupings rather than clarifying semantics. It notably leaves the karat-versus-purity_pct precedence unexplained, which is the one piece of parameter meaning the schema does not supply.

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 opens with a specific verb ("Calculate") and enumerates exactly what is produced: fine pure metal content, troy ounces, and total intrinsic melt value. It also names the required inputs (weight, karat/purity, spot price), so an agent can tell at a glance this is a valuation calculator rather than a data lookup. Its purpose is unambiguous and does not overlap with the unrelated math siblings.

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 the usage context (valuing a precious-metal item from weight and spot price) but never states when to use it versus alternatives, nor any preconditions. Critically, it gives no guidance on choosing between the two overlapping purity inputs, karat and purity_pct, which is the main usage decision an agent faces here. Guidance is implied rather than stated.

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