cst_optimizer

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

No annotations are provided, so the description must fully disclose behavior. It says 'set up' which implies configuration, but it is unclear if the tool actually starts the optimization or just prepares it. There is no mention of side effects, required project state, or return values.

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, two sentences that front-load the purpose and key actions. Every sentence carries information without fluff.

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 6 parameters and no output schema or annotations, the description omits important context: whether the tool runs the optimization or just configures it, what the return value is, and prerequisites like an existing project. This leaves significant gaps for an AI agent.

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?

Input schema has 100% description coverage. The description adds context like 'minimize, maximize, or target a specific value' for goal_type and 'choose an optimization algorithm' for method, but this largely overlaps with the schema descriptions. No additional meaning beyond schema for parameters like goal_value or max_evaluations.

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 verb 'set up' and the resource 'optimization in CST Studio'. It lists the key actions: define goal, specify parameters, choose algorithm. However, it does not distinguish from sibling optimizer tools like cst_constrained_optimizer or cst_multi_objective_optimizer, which have similar purposes.

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 vs alternatives (e.g., constrained or multi-objective optimizers). There is no mention of prerequisites or context such as needing an open project or defined parameters.

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