create_bool_var

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

The description lacks details on side effects, such as whether the variable is added to an existing model, implications for solver state, or any constraints on name uniqueness. With no annotations, the agent gets minimal insight into the tool's 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 a single, short sentence that efficiently conveys the primary action. It is front-loaded and contains no redundant information.

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?

Despite having an output schema (which likely covers return values), the description does not address context like when to choose this tool over siblings or what state changes occur. For a simple tool with one parameter, it is adequate but not comprehensive.

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 already describes the 'name' parameter as 'The name of the boolean variable to create.' The description only adds 'with the given name,' which adds no new meaning. Schema coverage is 100%, so the baseline is 3, and no extra value is provided.

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 action ('Create'), the resource ('Boolean variable'), and the scope ('with the given name'). This distinguishes it from sibling tools like create_int_var or create_real_var by specifying the data type.

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 like create_int_var or create_real_var. There is no mention of prerequisites, context, or scenarios where one type is preferred.

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