cst_constrained_optimizer

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

No annotations are provided, so the description must carry the full burden. It only states it performs optimization with constraints, but does not disclose potential side effects (e.g., modifying project parameters, running simulations) or any destructive behavior. The example is illustrative but not sufficient for 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 extremely concise, with one sentence and an example. It is front-loaded and contains no unnecessary words. Every part contributes to understanding the tool's core function.

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 (5 parameters, nested objects, no output schema), the description is too sparse. It lacks information about expected outcomes, prerequisites, side effects, or return values. The example provides context but does not cover the full scope of usage.

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%, meaning the description must compensate. It gives an example that loosely maps to parameters but does not explain the meaning, structure, or usage of parameters such as objective, constraints, or parameters array. The description adds minimal value over 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 tool performs single-objective optimization with explicit inequality constraints, and provides a specific example (minimize S11 subject to constraints). This effectively distinguishes it from unconstrained (cst_optimizer) and multi-objective (cst_multi_objective_optimizer) siblings.

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 for constrained single-objective problems via the example, but does not explicitly state when to use this tool versus alternatives like cst_optimizer or cst_multi_objective_optimizer. No when-not or exclusion criteria are provided.

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