optimize

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

With no annotations, the description carries the burden. It states it 'finds the optimal value subject to all added constraints', indicating dependency on prior constraint addition. However, it does not disclose side effects on the model or mention return behavior beyond what an output schema may cover.

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?

Extremely concise: two sentences that front-load the core purpose and follow with context. Every word adds value with no redundancy.

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 complexity of optimization, the description adequately covers the tool's role. It mentions the objective and constraints, and the output schema likely handles return values. Slight gap: no mention of solver state or reusability.

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 coverage is 100%, so the description adds no extra parameter meaning beyond the schema. The baseline of 3 is appropriate as the description does not expand on parameter usage or validation.

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 solves an optimization problem with maximize/minimize. It uses a specific verb+resource ('Solve with an optimization objective') and distinguishes from sibling tools like 'solve' which likely performs a general solve.

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 explicit guidance on when to use this tool versus alternatives such as 'solve'. The description does not mention prerequisites or exclusions, leaving the agent without clear context for selection.

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