Generate Sudoku Puzzle

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does disclose two important behaviors: the generated puzzle is 'new' (freshly generated) and 'uniquely-solvable' (guaranteed to have a single solution). It does not explain the exact output shape, but the presence of an output schema reduces the need for that detail.

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 sentence with no filler. It front-loads the core action and then adds the essential constraints ('uniquely-solvable', 'at the given difficulty'), making it concise and scannable.

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-optional-parameter generator with an output schema present, the description is complete enough. It states what is generated, the key quality guarantee, and the input dimension. The solve/validate siblings are clearly outside this tool's scope.

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 schema has 0% descriptive coverage, so the description must compensate. It references 'difficulty' and correctly ties it to the generated puzzle's difficulty, but it does not elaborate on the enum values or the default of medium. The self-explanatory enum in the schema does most of the clarifying work.

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 uses a specific verb ('Generate'), a specific resource ('Sudoku puzzle'), and a key qualifier ('uniquely-solvable'). It is clearly distinguished from the sibling tools validate_partial_sudoku_solution, validate_full_sudoku_solution, and solve_sudoku_puzzle because those are validation/solving operations, not generation.

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 tool is used when a new Sudoku puzzle is needed, but it does not explicitly state when to choose it over the solve/validate siblings or mention any exclusions. Usage context is clear enough from the verb, but alternative-routing guidance is absent.

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