power

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

No annotations are provided, so the description carries the behavioral burden. It openly discloses the log format ('POW | base ^ exponent = result'), the return shape (result or error message), and exception handling. This is useful, though it stops short of describing edge cases like non-finite inputs or exact response keys.

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 front-loaded with the core purpose and then uses short sections for input, return, logging, and errors. Each section earns its place, though the Args line partially restates what the input schema already expresses. Overall it is compact, structured, and easy to scan.

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 one-parameter math tool, the description covers invocation, return behavior, logging side effects, and error handling. The output schema exists and can carry return-value details, so the return description is sufficient. It is complete enough for an agent to call the tool correctly, with no major missing prerequisites.

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%, but the description identifies the only parameter, data, as a PowerOperation object containing base and exponent values. It adds the semantic relationship that the base is raised to the exponent, which goes slightly beyond the raw schema. It does not elaborate on constraints such as negative or fractional exponents, leaving the schema's number type to carry that weight.

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 first sentence states a specific operation—calculate power—with clear roles for base and exponent, leaving no ambiguity about the mathematical operation. The phrase 'given exponent' also differentiates it from fixed-exponent siblings like square. This is a precise, non-tautological description.

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 use case: whenever exponentiation with a base and exponent is needed. However, it does not explicitly state when not to use this tool or mention alternatives among the arithmetic sibling tools. The agent must infer selection from the operation semantics rather than being guided.

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