quantity_execute

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

With no annotations, the description carries the behavioral burden, and it does disclose important traits: input consists of typed operations, output includes a reproducibility hash and precision metadata, and failures are structured. It does not explicitly state that the operation is pure or side-effect-free, but the calculation/conversion framing strongly implies it.

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 two sentences with no wasted words. It front-loads the function, then gives compact input and output summaries. Every sentence contributes useful information.

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 gives a solid overview of behavior and output, but the tool has nested objects, a referenced $defs for operands, and no output schema. It omits details about constructing operations, interpreting precision metadata, and what 'structured failure' contains, leaving an agent without enough context for fully correct invocation in edge cases.

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 needed to explain the parameters, but it only mentions a 'sequence of typed operations (mul, convert)' and 'precision metadata.' It does not explain the structure of each operation, the operand references, the meaning of 'to' or 'at', or how precision settings affect results. This is insufficient for a nested schema with two parameters.

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 states a specific function: execute dimensional calculation and unit conversion with audit evidence, and it also summarizes inputs and outputs. It is clear about what the tool does, though the verb 'execute' is generic and there are no sibling tools to differentiate from.

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 through its input/output specification, but it does not explicitly state when to choose this tool, when not to use it, or any prerequisites. With no sibling tools, the lack of alternatives is less damaging, but guidance still remains implicit rather than explicit.

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