Optimize offensive SP spread

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 states the optimization goal but omits details such as damage formula assumptions, how 'minimum' is calculated (e.g., SP budget constraints), failure modes when no spread achieves the target, or whether it accounts for moves/abilities. The mention of get_pokemon_options hints at cross-tool dependency but does not disclose overall behavior.

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 and front-loaded with the primary purpose. No filler words; every sentence contributes a distinct point (goal and canonical-naming guidance).

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 complex tool with 8 parameters and a nested schema, the description is too minimal. It lacks mention of expected usage scenarios, relationship to other optimizer tools, and the meaning of the output. Although an output schema exists (reducing the need to explain return values), the description still provides insufficient context for correct invocation.

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%, and the description does not compensate by explaining key parameters like targetDamageRatio, spBudget, allowedNatures, or offensiveStat. The only indirect reference is 'attacking SP and nature,' which duplicates the tool's title. The rich input schema descriptions carry all semantics, so the description adds no value for 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 clearly states the tool's function: 'Find the minimum attacking SP and nature needed to reach a target damage ratio.' It distinguishes from sibling optimization tools by specifying 'attacking' as the optimization target, but does not explicitly name alternative tools for survival/speed spreads.

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?

Only a tangential usage note is provided: 'Use canonical current-format formes from get_pokemon_options when the user asks about a Mega/forme.' This addresses input naming for specific cases but does not explain when to choose this tool over sibling optimization tools (e.g., optimize_survival_spread).

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