np_power

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic operation, omitting details about type handling, broadcasting, overflow behavior, or edge cases. More transparency is needed for a standalone description.

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 a single, concise sentence that efficiently communicates the core functionality. No wasted words, but it could benefit from slight expansion to cover important nuances without becoming verbose.

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 is adequate for a simple element-wise operation, especially given the presence of a full input schema and output schema. However, it lacks contextual details about broadcasting, dtype promotion, and potential performance characteristics, which would improve completeness.

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 base description adds minimal value beyond schema definitions. The description 'Element-wise exponentiation' reinforces the schema but does not provide additional semantics that the schema lacks.

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 'Element-wise exponentiation of array elements', which is a specific verb+resource. It distinguishes np_power from sibling arithmetic tools like np_multiply, np_add, etc., by specifying the exponentiation operation.

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 on when to use np_power versus alternative tools such as np_multiply or np_log. The description lacks any context about appropriate use cases, prerequisites, or conditions.

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