optimize_trajectory

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

No annotations provided, so description carries full burden. It only states it returns an optimized path, but does not disclose safety implications, required permissions, or side effects on robot state.

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?

Short description with bullet points for parameters and return. Front-loaded purpose. Could be more structured but adequate.

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?

Lacks explanation of return format, failure cases, prerequisites, or integration with robot state. Given no output schema and no annotations, the description is insufficient for an 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 description coverage is 0%, so description must compensate. It briefly explains each parameter (ip, waypoints, optimization_type) and lists possible values for optimization_type. However, waypoints format is undefined, and ip is trivial.

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 optimizes a trajectory based on time, energy, or smoothness. It uses a specific verb and resource, and distinguishes from sibling tools (no other optimization tool).

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 on when or when not to use this tool. No mention of prerequisites, alternatives, or context for using different optimization types.

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