np_sin

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

With no annotations, the description carries the full burden. It adds 'element-wise' as a behavioral trait, which is useful. However, it does not disclose behavior for edge cases (e.g., non-finite inputs) or numerical implementation details. For a simple math function, this is adequate but not rich.

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 extremely concise with no wasted words. It is front-loaded and immediately clear. Every word earns its place.

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 element-wise trigonometric function, the description is complete. It specifies the operation, scope, and unit context (radians via schema). There is no need for more detail given the output schema existence and low complexity.

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?

The schema already covers the parameter 'array' with a description indicating radian units. The description adds only 'element-wise,' which is not new semantics. Since schema coverage is 100%, baseline is 3; no extra value from description.

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 'Trigonometric sine, element-wise,' which is a specific verb+resource. It effectively distinguishes from sibling tools like np_sinh (hyperbolic sine) and np_arcsin (inverse sine) due to the precise 'sine' and 'element-wise' qualifiers.

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 when to use (when computing sine of array elements) but provides no explicit guidance on when not to use or alternatives. For a basic math function, the name and description are usually sufficient, but it lacks any comparative context with siblings.

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