get_pokemon

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

No annotations are provided, so the description carries the full burden. It discloses the return content (base stats, types, etc.), which adds behavioral context beyond the input schema. However, it lacks details on error handling, rate limits, authentication needs, or whether the lookup is case-sensitive. The description adds some value but does not fully compensate for the absence of annotations.

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, well-structured sentence that front-loads the core action ('Look up a Pokemon by name') and efficiently lists the returned attributes. Every part of the sentence adds value without redundancy, making it appropriately sized and easy to parse.

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 tool's low complexity (one parameter, no annotations, no output schema), the description is reasonably complete. It specifies what the tool does and what it returns, which is sufficient for a simple lookup operation. However, without an output schema, it could benefit from more detail on the return structure, but the listed attributes provide adequate context for basic use.

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?

The input schema has 100% description coverage for the single parameter 'name,' providing examples like 'pikachu.' The description does not add further parameter details beyond what the schema already states. With high schema coverage and only one parameter, the baseline is high, and the description does not detract, but it also does not enhance parameter understanding beyond the schema.

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 specific action ('Look up a Pokemon by name') and resource ('Pokemon'), distinguishing it from sibling tools like get_ability, get_item, or search_pokemon_by_ability. It specifies the exact scope of what is retrieved (base stats, types, abilities with descriptions, weight, competitive tier), making the purpose unambiguous and distinct.

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 usage by stating 'Look up a Pokemon by name,' which suggests this tool is for retrieving details of a specific Pokemon. However, it does not explicitly state when to use this versus alternatives like search_pokemon_by_ability or list_dangerous_abilities, nor does it provide exclusions or prerequisites. The guidance is present but limited to implied context.

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