calc_stats

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 implies a calculation or read-only operation but doesn't specify if it's a simulation, requires external data, or has side effects like caching. For a tool with 5 parameters and no annotation coverage, this is a significant gap in transparency.

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, efficient sentence that front-loads the core purpose. It avoids unnecessary words, but could be slightly improved by structuring key details more clearly (e.g., separating parameters). Overall, it's appropriately concise for its content.

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?

Given the complexity (5 parameters with nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain the calculation logic, return format, or error handling, leaving gaps that could hinder an AI agent's ability to use the tool effectively in this Pokémon-related context.

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%, so the description must compensate for undocumented parameters. It lists the parameters (level, IVs, EVs, nature) but doesn't explain their meanings, formats, or interactions (e.g., what IVs and EVs represent, valid nature values). This adds minimal semantic value beyond the schema's structure.

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 states the tool calculates 'final stats' with specific components (level, IVs, EVs, nature), which clarifies the purpose beyond the name. However, it doesn't explicitly distinguish this from sibling tools like 'team_analysis' or 'suggest_moveset', which might also involve stat calculations, leaving some ambiguity about its unique role.

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 is provided on when to use this tool versus alternatives. For example, it doesn't specify if this is for individual Pokémon stat calculation as opposed to broader team analysis or move suggestions, nor does it mention prerequisites like needing a Pokémon name. This leaves the agent without clear usage context.

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