compute_ik

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

With no annotations, the description carries the full burden and does well: it states no robot movement, specifies scalar-first quaternion order, explains reproducibility via warm-start and random seed, and discloses what the result reports. This is strong behavioral disclosure.

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?

Three concise, front-loaded sentences with no filler. The main purpose comes first, followed by high-value behavioral details.

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 an output schema being present, the tool has 13 parameters, no annotations, and zero schema description coverage. The description provides useful behavioral context but is not enough for an agent to correctly configure all parameters or understand required inputs.

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%, and the description compensates for only a few parameters: target_orientation quaternion order, seed_joint_positions, and random_seed. Most of the 13 parameters, including required prim_path and target_position as well as tolerances and idempotency_key, receive no explanatory semantics.

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 first sentence names a precise operation: solve bounded Lula inverse kinematics. The qualifier 'without moving the robot' clearly separates it from motion-execution siblings such as execute_trajectory or set_joint_positions.

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 computing IK without commanding motion and notes reproducibility for repeated requests, but it does not explicitly name alternative tools or give when-to-use versus when-not-to-use guidance.

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