optimize_launch_angle

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

With no annotations, the description carries the full burden. It discloses that errors are returned as strings, not raised, and that output is a JSON string with results. However, it does not disclose computational cost, side effects, or whether the optimization is deterministic or stochastic.

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 well-structured: a one-line summary, then bullet-pointed args, returns, and raises. Every sentence is informative 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?

The description covers basic purpose and parameters, and the output schema exists to inform return structure. However, it lacks details on optimization algorithm, assumptions, and when to prefer this over similar tools. It is minimally complete but leaves gaps for a complex optimization tool.

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 0%, so the description adds value by explaining each parameter briefly (e.g., 'Rocket geometry parameters', 'Optional target range in meters'). However, it does not detail the expected structure of 'rocket_geometry' (which is a flexible object) or specify units for angle_bounds_deg.

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's purpose: 'Optimize rocket launch angle for maximum altitude or range.' This distinguishes it from siblings like 'optimize_thrust_profile' and 'rocket_3dof_trajectory' which handle different aspects of rocket optimization and simulation.

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 provides no explicit guidance on when to use this tool versus alternatives like 'trajectory_sensitivity_analysis' or 'particle_swarm_optimization'. It does not mention prerequisites or situations where the tool is inappropriate.

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