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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only worked examples (2^3=8) that confirm it is a pure computation; it says nothing about edge cases like negative or fractional exponents, overflow, or result formatting.

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?

Two short sentences, purpose front-loaded with examples trailing as confirmation. Nothing is padded or repeated.

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 an output schema, full annotation coverage, and 100% schema description coverage, the tool is simple enough that a short description suffices and nothing needed to call it is missing. It falls short of 5 only because it gives no hint about edge-case behavior for a mathematical operation.

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% and the schema already defines base and exponent with examples, so baseline is 3. The description's examples (2^3=8, 5^2=25) reinforce which parameter is which but add no semantics beyond what the schema provides.

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?

States a specific verb and the exact mathematical operation ('calculate x^y'), which is more precise than the title alone. It does not, however, distinguish itself from power-adjacent siblings such as calculator_exponential, calculator_ee_power, calculator_electrical_power, or calculator_physics_power, leaving the agent to infer the distinction from names.

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?

'Use this to calculate x^y' implies the usage context but gives no explicit when-to-use/when-not guidance and never names an alternative among the many sibling power/exponent calculators. The formula at least narrows the intended domain to general exponentiation.

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